MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks


MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition


MultiMAE: Multi-modal Multi-task Masked Autoencoders


MultiMUC: Multilingual Template Filling on MUC-4


MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models


MultiMax: Sparse and Multi-Modal Attention Learning


MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation


MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models


MultiMend: Multilingual Program Repair with Context Augmentation and Multi-Hunk Patch Generation


MultiModal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision Language Models


MultiModal-GPT: A Vision and Language Model for Dialogue with Humans


MultiOCR-QA: Dataset for Evaluating Robustness of LLMs in Question Answering on Multilingual OCR Texts


MultiOpEd: A Corpus of Multi-Perspective News Editorials


MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation


MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models


MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension


MultiQG-TI: Towards Question Generation from Multi-modal Sources


MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery


MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning


MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization


MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification


MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images


MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion


MultiShape: A Spectral Element Method, with Applications to Dynamic Density Functional Theory and PDE-Constrained Optimization


MultiShifter: software to generate structural models of extended two-dimensional defects in 3D and 2D crystals


MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving


MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions


MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons


MultiStream: A Simple and Fast Multiple Cameras Visual Monitor and Directly Streaming


MultiSubs: A Large-scale Multimodal and Multilingual Dataset


MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset


MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering


MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation


MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting


MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach


MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation


MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction


MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval


Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning


Multiagent Reinforcement Learning based Energy Beamforming Control


Multiagent Rollout with Reshuffling for Warehouse Robots Path Planning


Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning


Multiband parameter estimation with phase coherence and extrinsic marginalization: Extracting more information from low-SNR CBC signals in LISA data


Multicalibration as Boosting for Regression


Multicam-SLAM: Non-overlapping Multi-camera SLAM for Indirect Visual Localization and Navigation


Multicarving for high-dimensional post-selection inference


Multicategory Matched Learning for Estimating Optimal Individualized Treatment Rules in Observational Studies with Application to a Hepatocellular Carcinoma Study


Multicell Power Control under Rate Constraints with Deep Learning


Multicellular simulations with shape and volume constraints using optimal transport


Multichain Taprootized Atomic Swaps: Introducing Untraceability through Zero-Knowledge Proofs


Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation


Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets


Multichannel Semantic Segmentation with Unsupervised Domain Adaptation


Multiclass Classification via Class-Weighted Nearest Neighbors


Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures


Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier


Multiclass classification for multidimensional functional data through deep neural networks


Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding


Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets


Multicriteria Scalable Graph Drawing via Stochastic Gradient Descent, $(SGD)^2$


Multicriteria decision support employing adaptive prediction in a tensor-based feature representation


Multidataset Independent Subspace Analysis with Application to Multimodal Fusion


Multidimensional Belief Quantification for Label-Efficient Meta-Learning


Multidimensional Byte Pair Encoding: Shortened Sequences for Improved Visual Data Generation


Multidimensional Contrast Limited Adaptive Histogram Equalization


Multidimensional Fourier series with quantum circuits


Multidimensional Gabor-Like Filters Derived from Gaussian Functions on Logarithmic Frequency Axes


Multidimensional Graph Neural Networks for Wireless Communications


Multidimensional Joint Recurrence Quantification Analysis: detecting coupling between time series of different dimensionalities


Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey


Multidimensional Uncertainty-Aware Evidential Neural Networks


Multidimensional mutual information methods for the analysis of covariation in multiple sequence alignments


Multidirectional Associative Optimization of Function-Specific Word Representations


Multidirectionnal sweeping preconditioners with non-overlapping checkerboard domain decomposition for Helmholtz problems


Multidisciplinary Reading Patterns of Digital Documents


MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge


Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks


Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach


Multifaceted dynamics of Janus oscillator networks


Multifactor Sequential Disentanglement via Structured Koopman Autoencoders


Multifidelity Approximate Bayesian Computation


Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling


Multifidelity Uncertainty Quantification for Ice Sheet Simulations


Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport


Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes


Multifile Partitioning for Record Linkage and Duplicate Detection


Multifractality in random networks with power-law decaying bond strengths


Multiframe Motion Coupling for Video Super Resolution


Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations


Multigrid Reduction in Time for non-linear hyperbolic equations


Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation using Compact Implicit Layers


Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping


Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification


Multilateration of Random Networks with Community Structure


Multilayer Block Models for Exploratory Analysis of Computer Event Logs


Multilayer Environment and Toolchain for Holistic NetwOrk Design and Analysis


Multilayer Graph Approach to Deep Subspace Clustering


Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios


Multilayer random dot product graphs: Estimation and online change point detection


Multilevel Artificial Neural Network Training for Spatially Correlated Learning


Multilevel Clustering via Wasserstein Means


Multilevel Combinatorial Optimization Across Quantum Architectures


Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation


Multilevel Generative Samplers for Investigating Critical Phenomena


Multilevel Global-Local techniques for adaptive ductile phase-field fracture


Multilevel Graph Matching Networks for Deep Graph Similarity Learning


Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering


Multilevel Language and Vision Integration for Text-to-Clip Retrieval


Multilevel Monte Carlo with Surrogate Models for Resource Adequacy Assessment


Multilevel Optimization for Policy Design with Agent-Based Epidemic Models


Multilevel Picard approximations for McKean-Vlasov stochastic differential equations with nonconstant diffusion


Multilevel Sentence Embeddings for Personality Prediction


Multilevel Structural Evaluation of Signed Directed Social Networks based on Balance Theory


Multilevel Text Alignment with Cross-Document Attention


Multilevel User Credibility Assessment in Social Networks


Multilevel neural simulation-based inference


Multilevel regression with poststratification for the national level Viber/Street poll on the 2020 presidential election in Belarus


Multilevel-in-Layer Training for Deep Neural Network Regression


Multilinear Common Component Analysis via Kronecker Product Representation


Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization


Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning


Multilinear Wavelets: A Statistical Shape Space for Human Faces


Multilingual AMR Parsing with Noisy Knowledge Distillation


Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models


Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation


Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages


Multilingual Brain Surgeon: Large Language Models Can be Compressed Leaving No Language Behind


Multilingual Clustering of Streaming News


Multilingual Code Co-Evolution Using Large Language Models


Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling


Multilingual Collaborative Defense for Large Language Models


Multilingual Conceptual Coverage in Text-to-Image Models


Multilingual Content Moderation: A Case Study on Reddit


Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping


Multilingual Controllable Transformer-Based Lexical Simplification


Multilingual Coreference Resolution in Low-resource South Asian Languages


Multilingual Coreference Resolution in Multiparty Dialogue


Multilingual Counter Narrative Type Classification


Multilingual Crowd-Based Requirements Engineering Using Large Language Models


Multilingual Detection of Personal Employment Status on Twitter


Multilingual DistilWhisper: Efficient Distillation of Multi-task Speech Models via Language-Specific Experts


Multilingual Event Extraction from Historical Newspaper Adverts


Multilingual Extractive Reading Comprehension by Runtime Machine Translation


Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction


Multilingual Gloss-free Sign Language Translation: Towards Building a Sign Language Foundation Model


Multilingual Hate Speech and Offensive Content Detection using Modified Cross-entropy Loss


Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models


Multilingual Irony Detection with Dependency Syntax and Neural Models


Multilingual Jailbreak Challenges in Large Language Models


Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints


Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer


Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment


Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models


Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages


Multilingual LLMs Struggle to Link Orthography and Semantics in Bilingual Word Processing


Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment


Multilingual Language Models Predict Human Reading Behavior


Multilingual Language Models are not Multicultural: A Case Study in Emotion


Multilingual Large Language Models: A Systematic Survey


Multilingual Lexical Simplification via Paraphrase Generation


Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English


Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models


Multilingual Multi-Figurative Language Detection


Multilingual Multimodal Learning with Machine Translated Text


Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models


Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models


Multilingual Neural Machine Translation With Soft Decoupled Encoding


Multilingual Neural Machine Translation with Knowledge Distillation


Multilingual Neural Semantic Parsing for Low-Resourced Languages


Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base


Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation


Multilingual Non-Factoid Question Answering with Answer Paragraph Selection


Multilingual Nonce Dependency Treebanks: Understanding how Language Models represent and process syntactic structure


Multilingual Normalization of Temporal Expressions with Masked Language Models


Multilingual Offensive Language Identification with Cross-lingual Embeddings


Multilingual Open Text Release 1: Public Domain News in 44 Languages


Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLP


Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer


Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly


Multilingual Previously Fact-Checked Claim Retrieval


Multilingual Relation Classification via Efficient and Effective Prompting


Multilingual Relative Clause Attachment Ambiguity Resolution in Large Language Models


Multilingual Sentence Transformer as A Multilingual Word Aligner


Multilingual Simplification of Medical Texts


Multilingual State Space Models for Structured Question Answering in Indic Languages


Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding


Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You


Multilingual Text-to-Speech Synthesis for Turkic Languages Using Transliteration


Multilingual Translation via Grafting Pre-trained Language Models


Multilingual Vision-Language Pre-training for the Remote Sensing Domain


Multilingual Word Sense Disambiguation with Unified Sense Representation


Multilingual and Explainable Text Detoxification with Parallel Corpora


Multilingual and Multi-Aspect Hate Speech Analysis


Multilingual and Multimodal Topic Modelling with Pretrained Embeddings


Multilingual and code-switching ASR challenges for low resource Indian languages


Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers


Multilingual hierarchical classification of job advertisements for job vacancy statistics


Multilingual k-Nearest-Neighbor Machine Translation


Multilingual large language models leak human stereotypes across language boundaries


Multilingual unsupervised sequence segmentation transfers to extremely low-resource languages


Multilingualism, Transnationality, and K-pop in the Online #StopAsianHate Movement


Multimedia Communication Quality Assessment Testbeds


Multimedia Generative Script Learning for Task Planning


Multimessenger pulsar timing array constraints on supermassive black hole binaries traced by periodic light curves


Multimodal 3D Object Detection from Simulated Pretraining


Multimodal AI predicts clinical outcomes of drug combinations from preclinical data


Multimodal Across Domains Gaze Target Detection


Multimodal Active Measurement for Human Mesh Recovery in Close Proximity


Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting


Multimodal Age and Gender Classification Using Ear and Profile Face Images


Multimodal Analogical Reasoning over Knowledge Graphs


Multimodal Attack Detection for Action Recognition Models


Multimodal Attention Networks for Low-Level Vision-and-Language Navigation


Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis


Multimodal Banking Dataset: Understanding Client Needs through Event Sequences


Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models


Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text


Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance


Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Infer Causal Links Between Siamese Images


Multimodal Chain-of-Thought Reasoning in Language Models


Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey


Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V


Multimodal Classification and Out-of-distribution Detection for Multimodal Intent Understanding


Multimodal Clinical Trial Outcome Prediction with Large Language Models


Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos


Multimodal Cognitive Reframing Therapy via Multi-hop Psychotherapeutic Reasoning


Multimodal Coherent Explanation Generation of Robot Failures


Multimodal Collaboration Networks for Geospatial Vehicle Detection in Dense, Occluded, and Large-Scale Events


Multimodal Colored Point Cloud to Image Alignment


Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection


Multimodal Contrastive Learning of Urban Space Representations from POI Data


Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs


Multimodal Controller for Generative Models


Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles


Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images


Multimodal Cultural Safety: Evaluation Frameworks and Alignment Strategies


Multimodal Data Augmentation for Image Captioning using Diffusion Models


Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data


Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models


Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms


Multimodal Deep Learning for Subtype Classification in Breast Cancer Using Histopathological Images and Gene Expression Data


Multimodal Deep Models for Predicting Affective Responses Evoked by Movies


Multimodal Detection of Unknown Objects on Roads for Autonomous Driving


Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals


Multimodal Distillation for Egocentric Action Recognition


Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis


Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss


Multimodal End-to-End Sparse Model for Emotion Recognition


Multimodal Entity Tagging with Multimodal Knowledge Base


Multimodal Estimation of Change Points of Physiological Arousal in Drivers


Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs


Multimodal Exponentially Modified Gaussian Oscillators


Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies


Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning


Multimodal Federated Learning via Contrastive Representation Ensemble


Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges


Multimodal Fish Feeding Intensity Assessment in Aquaculture


Multimodal Foundation Models For Echocardiogram Interpretation


Multimodal Foundation Models for Material Property Prediction and Discovery


Multimodal Fusion Learning with Dual Attention for Medical Imaging


Multimodal Fusion SLAM with Fourier Attention


Multimodal Fusion Strategies for Mapping Biophysical Landscape Features


Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior


Multimodal Gait Recognition for Neurodegenerative Diseases


Multimodal Gen-AI for Fundamental Investment Research


Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living


Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence


Multimodal Graph Learning for Generative Tasks


Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data


Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction


Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction


Multimodal Guidance Network for Missing-Modality Inference in Content Moderation


Multimodal Hate Speech Detection from Bengali Memes and Texts


Multimodal Image Fusion based on Hybrid CNN-Transformer and Non-local Cross-modal Attention


Multimodal Image Outpainting With Regularized Normalized Diversification


Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries


Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation


Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting


Multimodal Industrial Anomaly Detection by Crossmodal Reverse Distillation


Multimodal Industrial Anomaly Detection via Hybrid Fusion


Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations


Multimodal Information Interaction for Medical Image Segmentation


Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification


Multimodal Instruction Tuning with Conditional Mixture of LoRA


Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical Applications


Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning


Multimodal Interactions Using Pretrained Unimodal Models for SIMMC 2.0


Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series


Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams


Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval


Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion


Multimodal LLMs Can Reason about Aesthetics in Zero-Shot


Multimodal LLMs Struggle with Basic Visual Network Analysis: a VNA Benchmark


Multimodal Label Relevance Ranking via Reinforcement Learning


Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis


Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond


Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning


Multimodal Large Language Models for Phishing Webpage Detection and Identification


Multimodal Large Models Are Effective Action Anticipators


Multimodal Latent Language Modeling with Next-Token Diffusion


Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control


Multimodal Learning for Hateful Memes Detection


Multimodal Learning on Graphs for Disease Relation Extraction


Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion


Multimodal Long Video Modeling Based on Temporal Dynamic Context


Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data


Multimodal Machine Translation with Embedding Prediction


Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation


Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 Detection


Multimodal Masked Autoencoders Learn Transferable Representations


Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging


Multimodal Metadata Assignment for Cultural Heritage Artifacts


Multimodal Model with Text and Drug Embeddings for Adverse Drug Reaction Classification


Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation


Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection


Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution


Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test


Multimodal Multi-loss Fusion Network for Sentiment Analysis


Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-Art


Multimodal Music Generation with Explicit Bridges and Retrieval Augmentation


Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models


Multimodal Object Detection via Probabilistic a priori Information Integration


Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction


Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention


Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities


Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions


Multimodal Pipeline for Collection of Misinformation Data from Telegram


Multimodal Pre-training Based on Graph Attention Network for Document Understanding


Multimodal Preference Data Synthetic Alignment with Reward Model


Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs


Multimodal Pretraining for Dense Video Captioning


Multimodal Pretraining of Medical Time Series and Notes


Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction


Multimodal Procedural Planning via Dual Text-Image Prompting


Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition


Multimodal Prompt Retrieval for Generative Visual Question Answering


Multimodal Prompting with Missing Modalities for Visual Recognition


Multimodal Prototyping for cancer survival prediction


Multimodal Question Answering for Unified Information Extraction


Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model


Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think


Multimodal Representation Learning With Text and Images


Multimodal Representation Learning using Deep Multiset Canonical Correlation


Multimodal Representation Learning via Maximization of Local Mutual Information


Multimodal Representation for Neural Code Search


Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis


Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation


Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model


Multimodal Semi-Supervised Learning for 3D Objects


Multimodal Shape Completion via Conditional Generative Adversarial Networks


Multimodal Speech Emotion Recognition Using Modality-specific Self-Supervised Frameworks


Multimodal Speech Recognition for Language-Guided Embodied Agents


Multimodal Subspace Support Vector Data Description


Multimodal Survival Modeling in the Age of Foundation Models


Multimodal Task-Driven Dictionary Learning for Image Classification


Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals


Multimodal Transformer Distillation for Audio-Visual Synchronization


Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems


Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing Images


Multimodal Transformer for Automatic 3D Annotation and Object Detection


Multimodal Transformer for Nursing Activity Recognition


Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation


Multimodal Transformers for Real-Time Surgical Activity Prediction


Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction


Multimodal Tree Decoder for Table of Contents Extraction in Document Images


Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning


Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap


Multimodal VAE Active Inference Controller


Multimodal Variational Auto-encoder based Audio-Visual Segmentation


Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection


Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts


Multimodal Visual Concept Learning with Weakly Supervised Techniques


Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training


Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor


Multimodal and multiview distillation for real-time player detection on a football field


Multimodal brain age estimation using interpretable adaptive population-graph learning


Multimodal contrastive learning for spatial gene expression prediction using histology images


Multimodal data integration and cross-modal querying via orchestrated approximate message passing


Multimodal data matters: language model pre-training over structured and unstructured electronic health records


Multimodal foundation models are better simulators of the human brain


Multimodal fusion of imaging and genomics for lung cancer recurrence prediction


Multimodal fusion using sparse CCA for breast cancer survival prediction


Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space


Multimodal machine learning with large language embedding model for polymer property prediction


Multimodal neural networks better explain multivoxel patterns in the hippocampus


Multimodal neural pronunciation modeling for spoken languages with logographic origin


Multimodal photometry and spectroscopy: a new approach to data analysis in Astrophysics


Multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and GNSS data


Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)


Multimodal-Aware Fusion Network for Referring Remote Sensing Image Segmentation


Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing


Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving


Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation


Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models


Multimodality Invariant Learning for Multimedia-Based New Item Recommendation


Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning


Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications


Multimode theory of electron hole transverse instability


Multinomial Adversarial Networks for Multi-Domain Text Classification


Multinomial Distribution Learning for Effective Neural Architecture Search


Multinomial Logistic Regression Algorithms via Quadratic Gradient


Multinomial Models with Linear Inequality Constraints: Overview and Improvements of Computational Methods for Bayesian Inference


Multinomial belief networks for healthcare data


Multiobjective Direct Policy Search Using Physically Based Operating Rules in Multireservoir Systems


Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees


Multiorder Laplacian for synchronization in higher-order networks


Multioutput Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment


Multiparameter Persistent Homology-Generic Structures and Quantum Computing


Multiparameter transmission estimation at the quantum Cramér-Rao limit on a cloud quantum computer


Multipartition model for multiple change point identification


Multipath Graph Convolutional Neural Networks


Multiperiodic orbits from interacting soft spots in cyclically-sheared amorphous solids


Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction


Multiphase flow applications of non-intrusive reduced-order models with Gaussian process emulation


Multiphoton non-local quantum interference controlled by an undetected photon


Multiphysics discovery with moving boundaries using Ensemble SINDy and Peridynamic Differential Operator


Multiphysics modelling of Gas Tungsten Arc Welding on ultra-thin-walled titanium tubing


Multiple Antenna Selection and Successive Signal Detection for SM-based IRS-aided Communication


Multiple Augmented Reduced Rank Regression for Pan-Cancer Analysis


Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models


Multiple Changepoint Detection with Partial Information on Changepoint Times


Multiple Choice Questions and Large Languages Models: A Case Study with Fictional Medical Data


Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation


Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation


Multiple Emotion Descriptors Estimation at the ABAW3 Challenge


Multiple Expert Brainstorming for Domain Adaptive Person Re-identification


Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks


Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation


Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning


Multiple Human Tracking using Multi-Cues including Primitive Action Features


Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions


Multiple Hypothesis Testing Framework for Spatial Signals


Multiple Imputation Method for High-Dimensional Neuroimaging Data


Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data


Multiple Instance Dictionary Learning using Functions of Multiple Instances


Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis


Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning


Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification


Multiple Instance Learning with Mixed Supervision in Gleason Grading


Multiple Instance Learning: A Survey of Problem Characteristics and Applications


Multiple Instance Neuroimage Transformer


Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding


Multiple LLM Agents Debate for Equitable Cultural Alignment


Multiple Landmark Detection using Multi-Agent Reinforcement Learning


Multiple Light Source Dataset for Colour Research


Multiple Mean-Payoff Optimization under Local Stability Constraints


Multiple Network Embedding for Anomaly Detection in Time Series of Graphs


Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value


Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety Analysis


Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments


Multiple Object Stitching for Unsupervised Representation Learning


Multiple Object Trackers in OpenCV: A Benchmark


Multiple Object Tracking as ID Prediction


Multiple Object Tracking from appearance by hierarchically clustering tracklets


Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic


Multiple Partitioning of Multiplex Signed Networks: Application to European Parliament Votes


Multiple Physics Pretraining for Physical Surrogate Models


Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer


Multiple Relations Classification using Imbalanced Predictions Adaptation


Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET


Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization


Multiple Sound Sources Localization from Coarse to Fine


Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing


Multiple Style Transfer via Variational AutoEncoder


Multiple Target, Multiple Type Filtering in RFS Framework


Multiple Targets Directed Greybox Fuzzing


Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification


Multiple Testing and Variable Selection along the path of the Least Angle Regression


Multiple Testing for Neuroimaging via Hidden Markov Random Field


Multiple Testing in Generalized Universal Inference


Multiple Testing in Genome-Wide Association Studies via Hierarchical Hidden Markov Models


Multiple Texts as a Limiting Factor in Online Learning: Quantifying (Dis-)similarities of Knowledge Networks across Languages


Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG


Multiple Toddler Tracking in Indoor Videos


Multiple Topology Replica Exchange of Expanded Ensembles (MT-REXEE) for Multidimensional Alchemical Calculations


Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution


Multiple View Geometry Transformers for 3D Human Pose Estimation


Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization


Multiple Waypoint Navigation in Unknown Indoor Environments


Multiple Word Embeddings for Increased Diversity of Representation


Multiple and Gyro-Free Inertial Datasets


Multiple change point detection in functional data with applications to biomechanical fatigue data


Multiple conditional randomization tests for lagged and spillover treatment effects


Multiple equilibrium states of a curved-sided hexagram: Part II-Transitions between states


Multiple gravity laws for human mobility within cities


Multiple hypothesis screening using mixtures of non-local distributions with applications to genomic studies


Multiple imputation and full law identifiability


Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data


Multiple imputation for longitudinal data: A tutorial


Multiple imputation in Cox regression when there are time-varying effects of exposures


Multiple imputation of missing covariates when using the Fine-Gray model


Multiple instance active learning for object detection


Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering


Multiple kernel learning for integrative consensus clustering of 'omic datasets


Multiple outlier detection tests for parametric models


Multiple quadrotors carrying a flexible hose: dynamics, differential flatness and control


Multiple scales analysis of a nonlinear timestepping instability in simulations of solitons


Multiple species animal movements: network properties, disease dynamic and the impact of targeted control actions


Multiple spectator condensates from inflation


Multiple testing for signal-agnostic searches of new physics with machine learning


Multiple testing in multi-stream sequential change detection


Multiple timescales and the parametrisation method in geometric singular perturbation theory


Multiple timestep reversible $N$-body integrators for close encounters in planetary systems


Multiple tunable real-space degeneracies in graphene irradiated by twisted light


Multiple zeta values in deformation quantization


Multiple-Access Channel Coding with Non-Signaling Correlations


Multiple-Choice Questions are Efficient and Robust LLM Evaluators


Multiple-Hypothesis Path Planning with Uncertain Object Detections


Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics


Multiple-Relaxation Runge Kutta Methods for Conservative Dynamical Systems


Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing


Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers


Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization


Multiple-beam Interference Spectroscopy: Instrument Analysis and Spectrum Reconstruction


Multiple-bounce Smith Microfacet BRDFs using the Invariance Principle


Multiple-environment Self-adaptive Network for Aerial-view Geo-localization


Multiple-image encryption and hiding with an optical diffractive neural network


Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network


Multiplex Graph Contrastive Learning with Soft Negatives


Multiplex Graph Networks for Multimodal Brain Network Analysis


Multiplex Heterogeneous Graph Convolutional Network


Multiplex Network Regression: How do relations drive interactions?


Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task


Multiplex Word Embeddings for Selectional Preference Acquisition


Multiplex mobility network and metapopulation epidemic simulations of Italy based on Open Data


Multiplexed Quantum Communication with Surface and Hypergraph Product Codes


Multiplication fusion of sparse and collaborative-competitive representation for image classification


Multiplication polynomials for elliptic curves over finite local rings


Multiplicative Dynamic Mode Decomposition


Multiplicative Reweighting for Robust Neural Network Optimization


Multiplicity Statistics of Stars in the Sagittarius Dwarf Spheroidal Galaxy: Comparison to the Milky Way


Multiplier ideals of plane curve singularities via Newton polygons


Multiply-Robust Causal Change Attribution


Multipolar social systems: Measuring polarization beyond dichotomous contexts


Multipole vectors of completely random microwave skies for $l \leq 50$


Multipoles of the galaxy bispectrum on a light cone: wide-separation and relativistic corrections


Multiprecision Arithmetic for Cryptology in C++ - Compile-Time Computations and Beating the Performance of Hand-Optimized Assembly at Run-Time


Multiprobe Cosmology from the Abundance of SPT Clusters and DES Galaxy Clustering and Weak Lensing


Multiprocessing for the Particle Tracking Model MODPATH


Multirate Exponential Rosenbrock Methods


Multirate Runge-Kutta for Nonlinearly Partitioned Systems


Multirate Time-Integration based on Dynamic ODE Partitioning through Adaptively Refined Meshes for Compressible Fluid Dynamics


Multireference protonation energetics of a dimeric model of nitrogenase iron-sulfur clusters


Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification


Multiresolution Consensus Clustering in Networks


Multiresolution Equivariant Graph Variational Autoencoder


Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures


Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis


Multiresolution Tree Networks for 3D Point Cloud Processing


Multiresolution categorical regression for interpretable cell type annotation


Multiscale Analysis of Count Data through Topic Alignment


Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images


Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling


Multiscale Collaborative Deep Models for Neural Machine Translation


Multiscale Crowd Counting and Localization By Multitask Point Supervision


Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection


Multiscale Dubuc: A New Similarity Measure for Time Series


Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation


Multiscale Fisher's Independence Test for Multivariate Dependence


Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models


Multiscale Graph Comparison via the Embedded Laplacian Discrepancy


Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes


Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures


Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks


Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation


Multiscale Model of Clogging in Microfluidic Devices with Grid-Like Geometries


Multiscale Positive-Unlabeled Detection of AI-Generated Texts


Multiscale Quantile Regression with Local Error Control


Multiscale Scattering in Nonlinear Kerr-Type Media


Multiscale Score Matching for Out-of-Distribution Detection


Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures


Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs


Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis


Multiscale Tensor Summation Factorization as a New Neural Network Layer (MTS Layer) for Multidimensional Data Processing


Multiscale Topology Characterises Dynamic Tumour Vascular Networks


Multiscale Topology in Interactomic Network: From Transcriptome to Antiaddiction Drug Repurposing


Multiscale Vision Transformers meet Bipartite Matching for efficient single-stage Action Localization


Multiscale analysis via pseudo-reversing and applications to manifold-valued sequences


Multiscale core-periphery structure in a global liner shipping network


Multiscale deep context modeling for lossless point cloud geometry compression


Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data


Multiscale finite element calculations in Python using SfePy


Multiscale metabolic modeling of C4 plants: connecting nonlinear genome-scale models to leaf-scale metabolism in developing maize leaves


Multiscale methods for signal selection in single-cell data


Multiscale mobility patterns and the restriction of human movement


Multiscale modeling for a class of high-contrast heterogeneous sign-changing problems


Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)


Multiscale modelling of desquamation in the interfollicular epidermis


Multiscale molecular kinetics by coupling Markov state models and reaction-diffusion dynamics


Multiscale socio-ecological networks in the age of information


Multiscale style transfer based on a Laplacian pyramid for traditional Chinese painting


Multiset Transformer: Advancing Representation Learning in Persistence Diagrams


Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation


Multispecies Animal Re-ID Using a Large Community-Curated Dataset


Multispectral Contrastive Learning with Viewmaker Networks


Multispectral Detection Transformer with Infrared-Centric Sensor Fusion


Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks


Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches


Multispectral Pedestrian Detection with Sparsely Annotated Label


Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction Network


Multispectral Vineyard Segmentation: A Deep Learning approach


Multispectral image fusion based on super pixel segmentation


Multistability of Small Reaction Networks


Multistage BiCross encoder for multilingual access to COVID-19 health information


Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation


Multistage Estimators for Missing Covariates and Incomplete Outcomes


Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics


Multistage Mixed Precision Iterative Refinement


Multistage Spatial Context Models for Learned Image Compression


MultistageOT: Multistage optimal transport infers trajectories from a snapshot of single-cell data


Multistain Pretraining for Slide Representation Learning in Pathology


Multistart Algorithm for Identifying All Optima of Nonconvex Stochastic Functions


Multistart Methods for Quantum Approximate Optimization


Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach


Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems


Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning


Multistream Graph Attention Networks for Wind Speed Forecasting


Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations


Multitaper Spectral Analysis of Neuronal Spiking Activity Driven by Latent Stationary Processes


Multitask Active Learning for Graph Anomaly Detection


Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images


Multitask Balanced and Recalibrated Network for Medical Code Prediction


Multitask Bandit Learning Through Heterogeneous Feedback Aggregation


Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report


Multitask Learning Can Improve Worst-Group Outcomes


Multitask Learning Strengthens Adversarial Robustness


Multitask Learning for Fine-Grained Twitter Sentiment Analysis


Multitask Learning for Fundamental Frequency Estimation in Music


Multitask Learning for Network Traffic Classification


Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference


Multitask Multi-database Emotion Recognition


Multitask Network for Respiration Rate Estimation -- A Practical Perspective


Multitask Pointer Network for Multi-Representational Parsing


Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning


Multitask Prompted Training Enables Zero-Shot Task Generalization


Multitask Reinforcement Learning for Quadcopter Attitude Stabilization and Tracking using Graph Policy


Multitask learning for frame-level instrument recognition


Multitask learning for improved scour detection: A dynamic wave tank study


Multitask-based Evaluation of Open-Source LLM on Software Vulnerability


Multitasking Framework for Unsupervised Simple Definition Generation


Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve


Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images


Multithreaded parallelism for heterogeneous clusters of QPUs


Multivariate Adjustments for Average Equivalence Testing


Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting


Multivariate Bayesian dynamic modeling for causal prediction


Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers


Multivariate Bayesian structured variable selection for pharmacogenomic studies


Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes


Multivariate Causal Effects: a Bayesian Causal Regression Factor Model


Multivariate Confidence Calibration for Object Detection


Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay


Multivariate Density Estimation via Variance-Reduced Sketching


Multivariate Distributionally Robust Convex Regression under Absolute Error Loss


Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data


Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains


Multivariate Gaussian and Student$-t$ Process Regression for Multi-output Prediction


Multivariate Hermite interpolation of manifold-valued data


Multivariate Intrinsic Local Polynomial Regression on Isometric Riemannian Manifolds: Applications to Positive Definite Data


Multivariate Latent Recalibration for Conditional Normalizing Flows


Multivariate Matérn Models -- A Spectral Approach


Multivariate Normality Test with Copula Entropy


Multivariate Probabilistic Assessment of Speech Quality


Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices


Multivariate Probabilistic Regression with Natural Gradient Boosting


Multivariate Probabilistic Time Series Forecasting with Correlated Errors


Multivariate Public Key Cryptosystem from Sidon Spaces


Multivariate Ranks and Quantiles using Optimal Transport: Consistency, Rates, and Nonparametric Testing


Multivariate Representations of Univariate Marked Hawkes Processes


Multivariate Shortfall Risk Allocation and Systemic Risk


Multivariate Time Series Anomaly Detection using DiffGAN Model


Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology


Multivariate Time Series Early Classification Across Channel and Time Dimensions


Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis


Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic


Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting


Multivariate hierarchical analysis of car crashes data considering a spatial network lattice


Multivariate post-processing of probabilistic sub-seasonal weather regime forecasts


Multivariate rank via entropic optimal transport: sample efficiency and generative modeling


Multivariate rational approximation of functions with curves of singularities


Multivariate sparse clustering for extremes


Multivariate spatial conditional extremes for extreme ocean environments


Multivariate spatial models for small area estimation of species-specific forest inventory parameters


Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood


Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching


Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks


Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations


Multiverse: Multilingual Evidence for Fake News Detection


Multiview Aggregation for Learning Category-Specific Shape Reconstruction


Multiview Attenuation Estimation and Correction


Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters


Multiview Compressive Coding for 3D Reconstruction


Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated Content


Multiview Detection with Cardboard Human Modeling


Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)


Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning


Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance


Multiview Regenerative Morphing with Dual Flows


Multiview Representation Learning from Crowdsourced Triplet Comparisons


Multiview Stereo with Cascaded Epipolar RAFT


Multiview Textured Mesh Recovery by Differentiable Rendering


Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems


Multiview learning with twin parametric margin SVM


Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data


Multiwavelength Analysis of Dark Matter Annihilation and RX-DMFIT


Multiwavelet-based Operator Learning for Differential Equations


Multiway Alignment of Political Attitudes


Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization


Multiway clustering of 3-order tensor via affinity matrix


Multiwinner Temporal Voting with Aversion to Change


MurTree: Optimal Classification Trees via Dynamic Programming and Search


MusCaps: Generating Captions for Music Audio


MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion


Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning


Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations


MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning


MuseChat: A Conversational Music Recommendation System for Videos


MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE


MuseRAG: Idea Originality Scoring At Scale


MuseTalk: Real-Time High-Fidelity Video Dubbing via Spatio-Temporal Sampling


Museum Accessibility Through Wi-Fi Indoor Positioning


Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding


MushroomRL: Simplifying Reinforcement Learning Research


MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response


Music Augmentation and Denoising For Peak-Based Audio Fingerprinting


Music Classification: Beyond Supervised Learning, Towards Real-world Applications


Music Composition Using Quantum Annealing


Music Composition with Deep Learning: A Review


Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models


Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications


Music Emotion Prediction Using Recurrent Neural Networks


Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling


Music Genre Classification using Large Language Models


Music Instrument Classification Reprogrammed


Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects


Music Playlist Title Generation Using Artist Information


Music Proofreading with RefinPaint: Where and How to Modify Compositions given Context


Music Rearrangement Using Hierarchical Segmentation


Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm


Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)


Music Source Separation with Generative Flow


Music source separation conditioned on 3D point clouds


Music to Dance as Language Translation using Sequence Models


Music transcription modelling and composition using deep learning


Music- and Lyrics-driven Dance Synthesis


Music-oriented Dance Video Synthesis with Pose Perceptual Loss


Music-robust Automatic Lyrics Transcription of Polyphonic Music


Music102: An $D_{12}$-equivariant transformer for chord progression accompaniment


Music2Latent: Consistency Autoencoders for Latent Audio Compression


Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover Design


Music2Video: Automatic Generation of Music Video with fusion of audio and text


MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training


MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies


MusicLIME: Explainable Multimodal Music Understanding


MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models


MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision


MusicMood: Predicting the mood of music from song lyrics using machine learning


Musical Composition Style Transfer via Disentangled Timbre Representations


Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example


Musical Phrase Segmentation via Grammatical Induction


Musical Score Following using Statistical Inference


Musical Stylistic Analysis: A Study of Intervallic Transition Graphs via Persistent Homology


Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters


Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem


Musika! Fast Infinite Waveform Music Generation


Musketeer: Joint Training for Multi-task Vision Language Model with Task Explanation Prompts


Muskits: an End-to-End Music Processing Toolkit for Singing Voice Synthesis


Must Read: A Systematic Survey of Computational Persuasion


Must: Maximizing Latent Capacity of Spatial Transcriptomics Data


Mustafar: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference


MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering


Mutagenesis screen to map the functions of parameters of Large Language Models


Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label


Mutation Testing Optimisations using the Clang Front-end


Mutation Testing of Deep Reinforcement Learning Based on Real Faults


Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games


Mutation-based Fault Localization of Deep Neural Networks


Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing


MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization


Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model


Mutilmodal Feature Extraction and Attention-based Fusion for Emotion Estimation in Videos


Mutli-View 3D Reconstruction using Knowledge Distillation


Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution


Mutual Consistency Learning for Semi-supervised Medical Image Segmentation


Mutual Distillation Learning For Person Re-Identification


Mutual Distillation Learning Network for Trajectory-User Linking


Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality


Mutual Graph Learning for Camouflaged Object Detection


Mutual Harmony: Sequential Recommendation with Dual Contrastive Network


Mutual Information Based Method for Unsupervised Disentanglement of Video Representation


Mutual Information Divergence: A Unified Metric for Multimodal Generative Models


Mutual Information Estimation via $f$-Divergence and Data Derangements


Mutual Information Maximization for Effective Lip Reading


Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction


Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection


Mutual Information Regularized Offline Reinforcement Learning


Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI


Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing


Mutual Localization: Two Camera Relative 6-DOF Pose Estimation from Reciprocal Fiducial Observation


Mutual Modality Learning for Video Action Classification


Mutual Query Network for Multi-Modal Product Image Segmentation


Mutual Teaching for Graph Convolutional Networks


Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation


Mutual benefits of social learning and algorithmic mediation for cumulative culture


Mutual-Guided Dynamic Network for Image Fusion


Mutual-Information Based Optimal Experimental Design for Hyperpolarized $^{13}$C-Pyruvate MRI


Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking


Mutual-Supervised Learning for Sequential-to-Parallel Code Translation


MutualFormer: Multi-Modality Representation Learning via Cross-Diffusion Attention


Mutually Guided Few-shot Learning for Relational Triple Extraction


Mutually exciting point process graphs for modelling dynamic networks


Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation


Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems


MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction


MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving


MuxViz: A Tool for Multilayer Analysis and Visualization of Networks


Muyan-TTS: A Trainable Text-to-Speech Model Optimized for Podcast Scenarios with a $50K Budget


MvFS: Multi-view Feature Selection for Recommender System


MvKSR: Multi-view Knowledge-guided Scene Recovery for Hazy and Rainy Degradation


MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction


MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design


MxT: Mamba x Transformer for Image Inpainting


Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents


My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections


My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control


My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism


My View is the Best View: Procedure Learning from Egocentric Videos


My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music


My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack


MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning


MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration


MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge


MyESL: Sparse learning in molecular evolution and phylogenetic analysis


MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought Thinking


Mycorrhiza: Genotype Assignment usingPhylogenetic Networks


Myna: Masking-Based Contrastive Learning of Musical Representations


MyoGestic: EMG Interfacing Framework for Decoding Multiple Spared Degrees of Freedom of the Hand in Individuals with Neural Lesions


Myopically Verifiable Probabilistic Certificate for Long-term Safety


Myriad: a real-world testbed to bridge trajectory optimization and deep learning


MyriadAL: Active Few Shot Learning for Histopathology


MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering


Mélange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity


N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning


N$^2$M$^2$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments


N$^{3}$-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping


N-BEATS neural network for mid-term electricity load forecasting


N-BVH: Neural ray queries with bounding volume hierarchies


N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses


N-Body Oscillator Interactions of Higher-Order Coupling Functions


N-Dimensional Gaussians for Fitting of High Dimensional Functions


N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules


N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System


N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting


N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras


N-LIMB: Neural Limb Optimization for Efficient Morphological Design


N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations


N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning


N-TORC: Native Tensor Optimizer for Real-time Constraints


N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models


N-dimensional maximum-entropy tomography via particle sampling


N-gram Statistical Stemmer for Bangla Corpus


N24News: A New Dataset for Multimodal News Classification


N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores


NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time


NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations


NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction


NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution


NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs


NAISR: A 3D Neural Additive Model for Interpretable Shape Representation


NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset


NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation Corpus


NALA: an Effective and Interpretable Entity Alignment Method


NALABS: Detecting Bad Smells in Natural Language Requirements and Test Specifications


NAM: Normalization-based Attention Module


NAMET: Robust Massive Model Editing via Noise-Aware Memory Optimization


NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal


NAMO-LLM: Efficient Navigation Among Movable Obstacles with Large Language Model Guidance


NAOMI: Non-Autoregressive Multiresolution Sequence Imputation


NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning


NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction


NARAIM: Native Aspect Ratio Autoregressive Image Models


NAREOR: The Narrative Reordering Problem


NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities


NARRATE: Versatile Language Architecture for Optimal Control in Robotics


NARS vs. Reinforcement learning: ONA vs. Q-Learning


NARUTO: Neural Active Reconstruction from Uncertain Target Observations


NAS-BNN: Neural Architecture Search for Binary Neural Networks


NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search


NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search


NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks


NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search


NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing


NAS-Bench-x11 and the Power of Learning Curves


NAS-DIP: Learning Deep Image Prior with Neural Architecture Search


NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension


NAS-VAD: Neural Architecture Search for Voice Activity Detection


NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks


NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models


NASRec: Weight Sharing Neural Architecture Search for Recommender Systems


NAST: Noise Aware Speech Tokenization for Speech Language Models


NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting


NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language


NAT: Noise-Aware Training for Robust Neural Sequence Labeling


NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks


NAUTILUS: boosting Bayesian importance nested sampling with deep learning


NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning


NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization


NAVIX: Scaling MiniGrid Environments with JAX


NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation


NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data


NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection


NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations


NBMOD: Find It and Grasp It in Noisy Background


NC-NCD: Novel Class Discovery for Node Classification


NCA-Morph: Medical Image Registration with Neural Cellular Automata


NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation


NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls


NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision


NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects


NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPT


NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching


NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful


NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning


NCVis: Noise Contrastive Approach for Scalable Visualization


NCoder -- A Quantum Field Theory approach to encoding data


NCorr-FP: A Neighbourhood-based Correlation-preserving Fingerprinting Scheme for Intellectual Property Protection of Structured Data


ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction


NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space


NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection


NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction


NDF: Neural Deformable Fields for Dynamic Human Modelling


NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object


NDKF: A Neural-Enhanced Distributed Kalman Filter for Nonlinear Multi-Sensor Estimation


NDN, CoAP, and MQTT: A Comparative Measurement Study in the IoT


NDNTP: A Named Data Networking Time Protocol


NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation


NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks


NE-Table: A Neural key-value table for Named Entities


NEAL: An open-source tool for audio annotation


NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance


NEAT: Distilling 3D Wireframes from Neural Attraction Fields


NEBULA: A National Scale Dataset for Neighbourhood-Level Urban Building Energy Modelling for England and Wales


NEBULAR: A simple synthesis code for the hydrogen and helium nebular spectrum


NEDMP: Neural Enhanced Dynamic Message Passing


NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis


NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images


NEIDSpecMatch: stellar parameter estimation with NEID spectra using an empirical library


NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep


NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation


NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task


NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms


NEORL: NeuroEvolution Optimization with Reinforcement Learning


NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the Edge


NEPTUNE: Nonentangling Trajectory Planning for Multiple Tethered Unmanned Vehicles


NERCat: Fine-Tuning for Enhanced Named Entity Recognition in Catalan


NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution Shifts


NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities


NESS: Node Embeddings from Static SubGraphs


NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems


NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls


NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus


NEUZZ: Efficient Fuzzing with Neural Program Smoothing


NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research


NEWMA: a new method for scalable model-free online change-point detection


NEural Engine for Discovering Luminous Events (NEEDLE): identifying rare transient candidates in real time from host galaxy images


NExT-Chat: An LMM for Chat, Detection and Segmentation


NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation


NExUS: Bayesian simultaneous network estimation across unequal sample sizes


NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems


NF4 Isn't Information Theoretically Optimal (and that's Good)


NFAD: Fixing anomaly detection using normalizing flows


NFARec: A Negative Feedback-Aware Recommender Model


NFCGate: Opening the Door for NFC Security Research with a Smartphone-Based Toolkit


NFDI4DSO: Towards a BFO Compliant Ontology for Data Science


NFGen: Automatic Non-linear Function Evaluation Code Generator for General-purpose MPC Platforms


NFL Career Success as Predicted by NFL Scouting Combine


NFL Draft Modelling: Loss Functional Analysis


NFL Ghosts: A framework for evaluating defender positioning with conditional density estimation


NFL: Robust Learned Index via Distribution Transformation


NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition


NFNet: Non-interacting Fermion Network for Efficient Simulation of Large-scale Quantum Systems


NFT.mine: An xDeepFM-based Recommender System for Non-fungible Token (NFT) Buyers


NFT1000: A Cross-Modal Dataset for Non-Fungible Token Retrieval


NFormer: Robust Person Re-identification with Neighbor Transformer


NG-Scope: Fine-Grained Telemetry for NextG Cellular Networks


NGD-SLAM: Towards Real-Time Dynamic SLAM without GPU


NGEP: A Graph-based Event Planning Framework for Story Generation


NGS Based Haplotype Assembly Using Matrix Completion


NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection Algorithms


NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey


NHDS: The New Hampshire Dispersion Relation Solver


NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification


NIC-RobustBench: A Comprehensive Open-Source Toolkit for Neural Image Compression and Robustness Analysis


NICE: Improving Panoptic Narrative Detection and Segmentation with Cascading Collaborative Learning


NICE: Noise Injection and Clamping Estimation for Neural Network Quantization


NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming


NICER: Aesthetic Image Enhancement with Humans in the Loop


NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models


NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python


NICMOS Kernel-Phase Interferometry I: Catalogue of Brown Dwarfs Observed in F110W and F170M


NICO++: Towards Better Benchmarking for Domain Generalization


NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation


NICP: Neural ICP for 3D Human Registration at Scale


NIDN: Neural Inverse Design of Nanostructures


NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer Encoder


NIESR: Nuisance Invariant End-to-end Speech Recognition


NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter


NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization


NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis


NILE : Natural Language Inference with Faithful Natural Language Explanations


NILM as a regression versus classification problem: the importance of thresholding


NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity


NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement


NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science


NIPQ: Noise proxy-based Integrated Pseudo-Quantization


NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset


NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework


NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling


NISF: Neural Implicit Segmentation Functions


NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling


NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks


NISQ-Compatible Error Correction of Quantum Data Using Modified Dissipative Quantum Neural Networks


NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision Interaction


NITI: Training Integer Neural Networks Using Integer-only Arithmetic


NITO: Neural Implicit Fields for Resolution-free Topology Optimization


NITRO: LLM Inference on Intel Laptop NPUs


NIV-SSD: Neighbor IoU-Voting Single-Stage Object Detector From Point Cloud


NJOY+NCrystal: an open-source tool for creating thermal neutron scattering libraries


NK Hybrid Genetic Algorithm for Clustering


NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation


NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution


NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining


NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations


NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation


NL4Py: Agent-Based Modeling in Python with Parallelizable NetLogo Workspaces


NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction


NLCTables: A Dataset for Marrying Natural Language Conditions with Table Discovery


NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian


NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist


NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation


NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising


NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance


NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports


NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task


NLIP_Lab-IITH Multilingual MT System for WAT24 MT Shared Task


NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension


NLO Multijet Merging for Higgs Production Beyond the VBF Approximation


NLO Perturbativity Bounds on Quartic Couplings in Renormalizable Theories with $\phi^4$-like Scalar Sectors


NLO SMEFT Electroweak Corrections to Higgs Decays to 4 Leptons in the Narrow Width Approximation


NLO corrections to the deeply virtual meson production revisited: impact on the extraction of generalized parton distributions


NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework


NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps


NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools


NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA


NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs


NLP-ADBench: NLP Anomaly Detection Benchmark


NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings


NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing


NLP-based classification of software tools for metagenomics sequencing data analysis into EDAM semantic annotation


NLP4Gov: A Comprehensive Library for Computational Policy Analysis


NLP4RE Tools: Classification, Overview, and Management


NLPBench: Evaluating Large Language Models on Solving NLP Problems


NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature


NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer


NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers


NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks


NLPStatTest: A Toolkit for Comparing NLP System Performance


NLPeer: A Unified Resource for the Computational Study of Peer Review


NLPositionality: Characterizing Design Biases of Datasets and Models


NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language


NLPrompt: Noise-Label Prompt Learning for Vision-Language Models


NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively


NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques


NLS: Natural-Level Synthesis for Hardware Implementation Through GenAI


NLS: an accurate and yet easy-to-interpret regression method


NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings


NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning


NLTGCR: A class of Nonlinear Acceleration Procedures based on Conjugate Residuals


NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks


NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer


NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models


NLocalSAT: Boosting Local Search with Solution Prediction


NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GAN


NM-SpMM: Accelerating Matrix Multiplication Using N:M Sparsity with GPGPU


NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning


NMR Assignment through Linear Programming


NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection


NMT-Obfuscator Attack: Ignore a sentence in translation with only one word


NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication


NN-ETM: Enabling safe neural network-based event-triggering mechanisms for consensus problems


NN-EUCLID: deep-learning hyperelasticity without stress data


NN2Rules: Extracting Rule List from Neural Networks


NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation


NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods


NNLO soft function for threshold single inclusive jet production


NNLO virtual and real leptonic corrections to muon-electron scattering


NNLOCAL: completely local subtractions for color-singlet production in hadron collisions


NNOSE: Nearest Neighbor Occupational Skill Extraction


NNPred: A Predictor Library to Deploy Neural Networks in Computational Fluid Dynamics software


NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit


NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers


NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation


NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Framework


NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator


NNgTL: Neural Network Guided Optimal Temporal Logic Task Planning for Mobile Robots


NNoculation: Catching BadNets in the Wild


NNrepair: Constraint-based Repair of Neural Network Classifiers


NOAH: Learning Pairwise Object Category Attentions for Image Classification


NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset


NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation


NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset


NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning


NODE-ImgNet: a PDE-informed effective and robust model for image denoising


NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique


NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations


NODIS: Neural Ordinary Differential Scene Understanding


NOELLE Offers Empowering LLVM Extensions


NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination


NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain Transfer


NOLA: Compressing LoRA using Linear Combination of Random Basis


NOMA Empowered Integrated Sensing and Communication


NOMA-aided Joint Communication, Sensing, and Multi-tier Computing Systems


NOMAD CAMELS: Configurable Application for Measurements, Experiments and Laboratory Systems


NOMAD version 4: Nonlinear optimization with the MADS algorithm


NOMU: Neural Optimization-based Model Uncertainty


NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction


NOPE: A Corpus of Naturally-Occurring Presuppositions in English


NOPE: Novel Object Pose Estimation from a Single Image


NORM: Knowledge Distillation via N-to-One Representation Matching


NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering


NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation


NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs


NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models


NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation


NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters


NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects


NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning


NOVUM: Neural Object Volumes for Robust Object Classification


NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation


NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation


NP4G : Network Programming for Generalization


NPB-Rust: NAS Parallel Benchmarks in Rust


NPBDREG: Uncertainty Assessment in Diffeomorphic Brain MRI Registration using a Non-parametric Bayesian Deep-Learning Based Approach


NPD Entropy: A Non-Parametric Differential Entropy Rate Estimator


NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search


NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos


NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language Models


NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models


NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes


NPMs: Neural Parametric Models for 3D Deformable Shapes


NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval


NPSVC++: Nonparallel Classifiers Encounter Representation Learning


NPTFit: A code package for Non-Poissonian Template Fitting


NQCDynamics.jl: A Julia Package for Nonadiabatic Quantum Classical Molecular Dynamics in the Condensed Phase


NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs


NQontrol: An open-source platform for digital control-loops in quantum-optical experiments


NRBdMF: A recommendation algorithm for predicting drug effects considering directionality


NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset


NRGBoost: Energy-Based Generative Boosted Trees


NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs


NRPyLaTeX: A LaTeX interface to computer algebra systems for general relativity


NRTSI: Non-Recurrent Time Series Imputation


NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes


NS3: Neuro-Symbolic Semantic Code Search


NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines


NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm


NSNet: A General Neural Probabilistic Framework for Satisfiability Problems


NSSI-Net: Multi-Concept Generative Adversarial Network for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG Signals in a Semi-Supervised Learning Framework


NSmark: Null Space Based Black-box Watermarking Defense Framework for Language Models


NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object Tracking


NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning


NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results


NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI


NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results


NTIRE 2025 Challenge on Image Super-Resolution ($\times$4): Methods and Results


NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results


NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results


NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results


NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results


NTK-Guided Few-Shot Class Incremental Learning


NTO3D: Neural Target Object 3D Reconstruction with Segment Anything


NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge


NTTSuite: Number Theoretic Transform Benchmarks for Accelerating Encrypted Computation


NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human Actions


NTU4DRadLM: 4D Radar-centric Multi-Modal Dataset for Localization and Mapping


NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye Images


NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space


NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks


NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF


NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis


NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis


NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions


NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts


NUBO: A Transparent Python Package for Bayesian Optimization


NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation


NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval


NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models


NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data


NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization


NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection


NUV-DoA: NUV Prior-based Bayesian Sparse Reconstruction with Spatial Filtering for Super-Resolution DoA Estimation


NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis


NV-LIO: LiDAR-Inertial Odometry using Normal Vectors Towards Robust SLAM in Multifloor Environments


NVCache: A Plug-and-Play NVMM-based I/O Booster for Legacy Systems


NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories


NVP-HRI: Zero Shot Natural Voice and Posture-based Human-Robot Interaction via Large Language Model


NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image


NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes without References


NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification


NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Images


NYC-Event-VPR: A Large-Scale High-Resolution Event-Based Visual Place Recognition Dataset in Dense Urban Environments


NYTRO: When Subsampling Meets Early Stopping


NYTWIT: A Dataset of Novel Words in the New York Times


NaFM: Pre-training a Foundation Model for Small-Molecule Natural Products


NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks


NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory


NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts


NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages


NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis


Naive Bayes Classifiers over Missing Data: Decision and Poisoning


Naive Bayes-based Context Extension for Large Language Models


Naive Feature Selection: a Nearly Tight Convex Relaxation for Sparse Naive Bayes


Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer


NameGuess: Column Name Expansion for Tabular Data


Named Entity Disambiguation for Noisy Text


Named Entity Disambiguation using Deep Learning on Graphs


Named Entity Recognition -- Is there a glass ceiling?


Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences


Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations


Named Entity Recognition as Dependency Parsing


Named Entity Recognition for Social Media Texts with Semantic Augmentation


Named Entity Recognition in Historical Italian: The Case of Giacomo Leopardi's Zibaldone