Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training


Motor crosslinking augments elasticity in active nematics


Motron: Multimodal Probabilistic Human Motion Forecasting


MouSi: Poly-Visual-Expert Vision-Language Models


MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of Mice


Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation


Move Schedules: Fast persistence computations in coarse dynamic settings


Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing


Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance


Move to See Better: Self-Improving Embodied Object Detection


Movement Pruning: Adaptive Sparsity by Fine-Tuning


Movement bias in asymmetric landscapes and its impact on population distribution and critical habitat size


Movement- and Traffic-based User Identification in Commercial Virtual Reality Applications: Threats and Opportunities


Movie Genre Classification by Language Augmentation and Shot Sampling


Movie Revenue Prediction using Machine Learning Models


MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation


MovieCLIP: Visual Scene Recognition in Movies


MovieCuts: A New Dataset and Benchmark for Cut Type Recognition


MovieNet-PS: A Large-Scale Person Search Dataset in the Wild


MovieSum: An Abstractive Summarization Dataset for Movie Screenplays


Moving Anchor Extragradient Methods For Smooth Structured Minimax Problems


Moving Beyond Medical Exam Questions: A Clinician-Annotated Dataset of Real-World Tasks and Ambiguity in Mental Healthcare


Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders


Moving Frame Net: SE(3)-Equivariant Network for Volumes


Moving Object Detection for Event-based Vision using k-means Clustering


Moving Object Detection for Event-based vision using Graph Spectral Clustering


Moving Object Segmentation in Point Cloud Data using Hidden Markov Models


Moving Object Segmentation: All You Need Is SAM (and Flow)


Moving Obstacle Avoidance: a Data-Driven Risk-Aware Approach


Moving Sampling Physics-informed Neural Networks induced by Moving Mesh PDE


Moving Stuff Around: A study on efficiency of moving documents into memory for Neural IR models


Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments


Moving Window Regression: A Novel Approach to Ordinal Regression


Moving beyond simulation: data-driven quantitative photoacoustic imaging using tissue-mimicking phantoms


Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging


Moving groups across Galactocentric radius with Gaia DR3


Moving in a 360 World: Synthesizing Panoramic Parallaxes from a Single Panorama


Moving outside the lab: The viability of conducting sensorimotor learning studies online


Moving sum procedure for change point detection under piecewise linearity


Moving sum procedure for multiple change point detection in large factor models


Moving toward best practice when using propensity score weighting in survey observational studies


Moving-Resting Process with Measurement Error in Animal Movement Modeling


MovingFashion: a Benchmark for the Video-to-Shop Challenge


Mozart's Touch: A Lightweight Multi-modal Music Generation Framework Based on Pre-Trained Large Models


MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement Learning


Mpemba-like effect protocol for granular gases of inelastic and rough hard disks


MphayaNER: Named Entity Recognition for Tshivenda


Mpox-AISM: AI-Mediated Super Monitoring for Mpox and Like-Mpox


MpoxMamba: A Grouped Mamba-based Lightweight Hybrid Network for Mpox Detection


MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection


Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text


MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations


MrSQM: Fast Time Series Classification with Symbolic Representations


MrT5: Dynamic Token Merging for Efficient Byte-level Language Models


MrTF: Model Refinery for Transductive Federated Learning


Ms.FPOP: An Exact and Fast Segmentation Algorithm With a Multiscale Penalty


MsMorph: An Unsupervised pyramid learning network for brain image registration


Msanii: High Fidelity Music Synthesis on a Shoestring Budget


MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation


MuBlE: MuJoCo and Blender simulation Environment and Benchmark for Task Planning in Robot Manipulation


MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset


MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music


MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models


MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages


MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads


MuDPT: Multi-modal Deep-symphysis Prompt Tuning for Large Pre-trained Vision-Language Models


MuFinder: A program to determine and analyse muon stopping sites


MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing


MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields


MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification


MuLD: The Multitask Long Document Benchmark


MuLMINet: Multi-Layer Multi-Input Transformer Network with Weighted Loss


MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain


MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain


MuLaN: a MultiLayer Networks Alignment Algorithm


MuLan: A Study of Fact Mutability in Language Models


MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion


MuMA-ToM: Multi-modal Multi-Agent Theory of Mind


MuMu-LLaMA: Multi-modal Music Understanding and Generation via Large Language Models


MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding


MuNES: Multifloor Navigation Including Elevators and Stairs


MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization


MuRiT: Efficient Computation of Pathwise Persistence Barcodes in Multi-Filtered Flag Complexes via Vietoris-Rips Transformations


MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution


MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training


MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning


MuST: Multi-Scale Transformers for Surgical Phase Recognition


MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images


MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop


MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data


MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox


MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation


MuTual: A Dataset for Multi-Turn Dialogue Reasoning


MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations


MuVieCAST: Multi-View Consistent Artistic Style Transfer


Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model


Muddling Label Regularization: Deep Learning for Tabular Datasets


Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing


Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging


Mugs: A Multi-Granular Self-Supervised Learning Framework


MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding


Mukhyansh: A Headline Generation Dataset for Indic Languages


MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction


MulChain: Enabling Advanced Cross-Modal Queries in Hybrid-Storage Blockchains


MulMarker: a comprehensive framework for identifying multi-gene prognostic signatures


MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training


MultIHeaTS: A Fast and Stable Thermal Solver for Multilayered Planetary Surfaces


MultPIM: Fast Stateful Multiplication for Processing-in-Memory


Multem 3: An updated and revised version of the program for transmission and band calculations of photonic crystals


Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects


Multi Agent Framework for Collective Intelligence Research


Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller


Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems


Multi Agent based Medical Assistant for Edge Devices


Multi Class Depression Detection Through Tweets using Artificial Intelligence


Multi Kernel Estimation based Object Segmentation


Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation


Multi Level Dense Layer Neural Network Model for Housing Price Prediction


Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI


Multi Resolution Analysis (MRA) for Approximate Self-Attention


Multi S-Graphs: An Efficient Distributed Semantic-Relational Collaborative SLAM


Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification


Multi Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition


Multi Target Tracking by Learning from Generalized Graph Differences


Multi Teacher Privileged Knowledge Distillation for Multimodal Expression Recognition


Multi Type Mean Field Reinforcement Learning


Multi View Spatial-Temporal Model for Travel Time Estimation


Multi class activity classification in videos using Motion History Image generation


Multi focus acoustic field generation using Dammann gratings for phased array transducers


Multi$^{\mathbf{3}}$Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery


Multi-Agent 3D Map Reconstruction and Change Detection in Microgravity with Free-Flying Robots


Multi-Agent Active Search using Realistic Depth-Aware Noise Model


Multi-Agent Adversarial Inverse Reinforcement Learning


Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels


Multi-Agent Car Parking using Reinforcement Learning


Multi-Agent Collaboration in Incident Response with Large Language Models


Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining


Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning


Multi-Agent Common Knowledge Reinforcement Learning


Multi-Agent Congestion Cost Minimization With Linear Function Approximations


Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning


Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications


Multi-Agent Continuous Control with Generative Flow Networks


Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification


Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control


Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions


Multi-Agent Environments for Vehicle Routing Problems


Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications


Multi-Agent Interactions Modeling with Correlated Policies


Multi-Agent Motion Planning For Differential Drive Robots Through Stationary State Search


Multi-Agent Motion Planning with Bézier Curve Optimization under Kinodynamic Constraints


Multi-Agent Multimodal Models for Multicultural Text to Image Generation


Multi-Agent Path Finding with Prioritized Communication Learning


Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals


Multi-Agent Path Planning in Complex Environments using Gaussian Belief Propagation with Global Path Finding


Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization


Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks


Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement


Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey


Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects


Multi-Agent Reinforcement Learning for Power Grid Topology Optimization


Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey


Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method


Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization


Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring


Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes


Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator


Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications


Multi-Agent Reinforcement Learning with Focal Diversity Optimization


Multi-Agent Reinforcement Learning with Temporal Logic Specifications


Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment


Multi-Agent Routing Value Iteration Network


Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration


Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control


Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV Series


Multi-Agent Systems Powered by Large Language Models: Applications in Swarm Intelligence


Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition


Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network


Multi-Agent Vulcan: An Information-Driven Multi-Agent Path Finding Approach


Multi-Anchor Active Domain Adaptation for Semantic Segmentation


Multi-Architecture Monte-Carlo (MC) Simulation of Soft Coarse-Grained Polymeric Materials: SOft coarse grained Monte-carlo Acceleration (SOMA)


Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data


Multi-Armed Bandits in Brain-Computer Interfaces


Multi-Armed Bandits with Network Interference


Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation


Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer


Multi-Attention Network for Compressed Video Referring Object Segmentation


Multi-Attribute Enhancement Network for Person Search


Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective


Multi-Attribute Relation Extraction (MARE) -- Simplifying the Application of Relation Extraction


Multi-Attribute Vision Transformers are Efficient and Robust Learners


Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks


Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling


Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation


Multi-Behavior Recommendation with Cascading Graph Convolution Networks


Multi-Behavior Sequential Recommendation with Temporal Graph Transformer


Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection


Multi-Branch Network for Imagery Emotion Prediction


Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis


Multi-Branch with Attention Network for Hand-Based Person Recognition


Multi-CALF: A Policy Combination Approach with Statistical Guarantees


Multi-CCD Point Spread Function Modelling


Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling


Multi-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement


Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration


Multi-Camera Hand-Eye Calibration for Human-Robot Collaboration in Industrial Robotic Workcells


Multi-Camera Trajectory Forecasting with Trajectory Tensors


Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras


Multi-Category Mesh Reconstruction From Image Collections


Multi-Cell Decoder and Mutual Learning for Table Structure and Character Recognition


Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging


Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection


Multi-Channel Acoustic Echo Cancellation Based on Direction-of-Arrival Estimation


Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction


Multi-Channel Cross Modal Detection of Synthetic Face Images


Multi-Channel Deep Networks for Block-Based Image Compressive Sensing


Multi-Channel Graph Neural Network for Entity Alignment


Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG


Multi-Class Abnormality Classification Task in Video Capsule Endoscopy


Multi-Class Abnormality Classification in Video Capsule Endoscopy Using Deep Learning


Multi-Class Data Description for Out-of-distribution Detection


Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories


Multi-Class Model Fitting by Energy Minimization and Mode-Seeking


Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation


Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion


Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge


Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier


Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning


Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction


Multi-Component Graph Convolutional Collaborative Filtering


Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware


Multi-Compound Transformer for Accurate Biomedical Image Segmentation


Multi-Concept Customization of Text-to-Image Diffusion


Multi-Condition Fault Diagnosis of Dynamic Systems: A Survey, Insights, and Prospects


Multi-Conditional Ranking with Large Language Models


Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images


Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation


Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network


Multi-Curve Translator for High-Resolution Photorealistic Image Translation


Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning


Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing


Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems


Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning


Multi-Depth Branch Network for Efficient Image Super-Resolution


Multi-Device Task-Oriented Communication via Maximal Coding Rate Reduction


Multi-Dialect Arabic BERT for Country-Level Dialect Identification


Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges


Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters


Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms


Multi-Dimensional Evaluation of Text Summarization with In-Context Learning


Multi-Dimensional Event Data in Graph Databases


Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean


Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and Model


Multi-Dimensional Self Attention based Approach for Remaining Useful Life Estimation


Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing


Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition


Multi-Document Keyphrase Extraction: Dataset, Baselines and Review


Multi-Document Scientific Summarization from a Knowledge Graph-Centric View


Multi-Document Summarization with Centroid-Based Pretraining


Multi-Domain Active Learning: Literature Review and Comparative Study


Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging


Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models


Multi-Domain Dialogue Acts and Response Co-Generation


Multi-Domain Incremental Learning for Semantic Segmentation


Multi-Domain Learning and Identity Mining for Vehicle Re-Identification


Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations


Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters


Multi-Entry Generalized Search Trees for Indexing Trajectories


Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval


Multi-Evidence based Fact Verification via A Confidential Graph Neural Network


Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias


Multi-Exposure Image Fusion via Distilled 3D LUT Grid with Editable Mode


Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore


Multi-Facet Clustering Variational Autoencoders


Multi-Facet Recommender Networks with Spherical Optimization


Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection


Multi-Faceted Studies on Data Poisoning can Advance LLM Development


Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance


Multi-Factor Key Derivation Function (MFKDF) for Fast, Flexible, Secure, & Practical Key Management


Multi-Factors Aware Dual-Attentional Knowledge Tracing


Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution


Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images


Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis


Multi-Features Guidance Network for partial-to-partial point cloud registration


Multi-Fidelity Active Learning with GFlowNets


Multi-Fidelity Bayesian Optimization with Unreliable Information Sources


Multi-Fidelity Cost-Aware Bayesian Optimization


Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry


Multi-Fidelity Emulation for the Matter Power Spectrum using Gaussian Processes


Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling


Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps


Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection


Multi-Frame Quality Enhancement for Compressed Video


Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving


Multi-Frequency Channel Modeling for Millimeter Wave and THz Wireless Communication via Generative Adversarial Networks


Multi-Frequency Joint Community Detection and Phase Synchronization


Multi-Frequency Models of Black Hole Photon Rings from Low-Luminosity Accretion Disks


Multi-GPU aggregation-based AMG preconditioner for iterative linear solvers


Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations


Multi-Generational Black Hole Population Analysis with an Astrophysically Informed Mass Function


Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention


Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot


Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning


Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog


Multi-Grained Multimodal Interaction Network for Entity Linking


Multi-Grained Patch Training for Efficient LLM-based Recommendation


Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation


Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition


Multi-Granularity Alignment Domain Adaptation for Object Detection


Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph


Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media


Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation


Multi-Granularity Detector for Vulnerability Fixes


Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation


Multi-Granularity Language-Guided Multi-Object Tracking


Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary


Multi-Granularity Prediction for Scene Text Recognition


Multi-Granularity Regularized Re-Balancing for Class Incremental Learning


Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval


Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model


Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation


Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction


Multi-Graph Fusion Networks for Urban Region Embedding


Multi-Graph Transformer for Free-Hand Sketch Recognition


Multi-Group Proportional Representation in Retrieval


Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot


Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition


Multi-Head Attention Residual Unfolded Network for Model-Based Pansharpening


Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation


Multi-Head Encoding for Extreme Label Classification


Multi-Head ReLU Implicit Neural Representation Networks


Multi-Head Self-Attention via Vision Transformer for Zero-Shot Learning


Multi-Head Self-Attention with Role-Guided Masks


Multi-Higgs Boson Production with Anomalous Interactions at Current and Future Proton Colliders


Multi-Hop Fact Checking of Political Claims


Multi-Hop Knowledge Graph Reasoning with Reward Shaping


Multi-Hop Paragraph Retrieval for Open-Domain Question Answering


Multi-Hop Question Generation via Dual-Perspective Keyword Guidance


Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning


Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following


Multi-IMU Sensor Fusion for Legged Robots


Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection


Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization


Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis


Multi-Instance Partial-Label Learning with Margin Adjustment


Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision


Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation


Multi-Keypoint Affordance Representation for Functional Dexterous Grasping


Multi-LLM Collaborative Caption Generation in Scientific Documents


Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning


Multi-Label Chest X-Ray Classification via Deep Learning


Multi-Label Classification Neural Networks with Hard Logical Constraints


Multi-Label Classification Using Link Prediction


Multi-Label Classification of COVID-Tweets Using Large Language Models


Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment


Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs


Multi-Label Clinical Time-Series Generation via Conditional GAN


Multi-Label Contrastive Learning : A Comprehensive Study


Multi-Label Contrastive Learning for Abstract Visual Reasoning


Multi-Label Feature Selection Using Adaptive and Transformed Relevance


Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs


Multi-Label Learning from Single Positive Labels


Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation


Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification


Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm


Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy


Multi-Label Plant Species Classification with Self-Supervised Vision Transformers


Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance


Multi-Label Stereo Matching for Transparent Scene Depth Estimation


Multi-Label Zero-Shot Product Attribute-Value Extraction


Multi-Layer Bilinear Generalized Approximate Message Passing


Multi-Layer Dense Attention Decoder for Polyp Segmentation


Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans


Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices


Multi-Level Additive Modeling for Structured Non-IID Federated Learning


Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Network


Multi-Level Branched Regularization for Federated Learning


Multi-Level Contrastive Learning for Dense Prediction Task


Multi-Level Correlation Network For Few-Shot Image Classification


Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization


Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets


Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-Resolution


Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks


Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model


Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification


Multi-Level Local SGD for Heterogeneous Hierarchical Networks


Multi-Level ML Based Burst-Aware Autoscaling for SLO Assurance and Cost Efficiency


Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification


Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models


Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation


Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos


Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities


Multi-LiCa: A Motion and Targetless Multi LiDAR-to-LiDAR Calibration Framework


Multi-Lingual Cyber Threat Detection in Tweets/X Using ML, DL, and LLM: A Comparative Analysis


Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models


Multi-Loss Weighting with Coefficient of Variations


Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems


Multi-Marginal Gromov-Wasserstein Transport and Barycenters


Multi-Mask Least-Squares Deconvolution: Extracting RVs using tailored masks


Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification


Multi-Message Secure Aggregation with Demand Privacy


Multi-Messenger Diagnostics of the Engine behind Core-Collapse Supernovae


Multi-Messenger Gravitational Wave Searches with Pulsar Timing Arrays: Application to 3C66B Using the NANOGrav 11-year Data Set


Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata


Multi-Metric Optimization using Generative Adversarial Networks for Near-End Speech Intelligibility Enhancement


Multi-Modal 3D Object Detection by Box Matching


Multi-Modal Adapter for Vision-Language Models


Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments


Multi-Modal Answer Validation for Knowledge-Based VQA


Multi-Modal Association based Grouping for Form Structure Extraction


Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography


Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of SSWP


Multi-Modal Chorus Recognition for Improving Song Search


Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape Templates


Multi-Modal Deep Clustering: Unsupervised Partitioning of Images


Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams


Multi-Modal Dialogue State Tracking for Playing GuessWhich Game


Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media


Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities


Multi-Modal Few-Shot Temporal Action Detection


Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data


Multi-Modal Fusion for Sensorimotor Coordination in Steering Angle Prediction


Multi-Modal Gaze Following in Conversational Scenarios


Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples


Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos


Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment


Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields


Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms


Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network


Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations


Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training


Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion


Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving


Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slip Scripts


Multi-Modal Multi-Task (3MT) Road Segmentation


Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking


Multi-Modal Prompt Learning on Blind Image Quality Assessment


Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering


Multi-Modal RGB-D Scene Recognition Across Domains


Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry


Multi-Modal Representation Learning with Self-Adaptive Threshold for Commodity Verification


Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism


Multi-Modal Self-Supervised Learning for Recommendation


Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment


Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing


Multi-Modal Spectral Parametrization Method (MMSPM) for analyzing EEG activity with distinct scaling regimes


Multi-Modal Transformer for Accelerated MR Imaging


Multi-Modal Transformers Utterance-Level Code-Switching Detection


Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen


Multi-Modal and Multi-Resolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark


Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition


Multi-Modality Collaborative Learning for Sentiment Analysis


Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis


Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction


Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning


Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning


Multi-Modality Task Cascade for 3D Object Detection


Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and Lyrics


Multi-Modality is All You Need for Transferable Recommender Systems


Multi-Mode Array Filtering of Resonance Fluorescence


Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing


Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation


Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model


Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection


Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention


Multi-Object Hallucination in Vision-Language Models


Multi-Object Navigation with dynamically learned neural implicit representations


Multi-Object Self-Supervised Depth Denoising


Multi-Objective Bayesian Optimization for Accelerator Tuning


Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs


Multi-Objective Causal Bayesian Optimization


Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles


Multi-Objective De Novo Drug Design with Conditional Graph Generative Model


Multi-Objective Deep Reinforcement Learning


Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks


Multi-Objective Genetic Algorithm for Multi-View Feature Selection


Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs


Multi-Objective Improvement of Android Applications


Multi-Objective Large Language Model Unlearning


Multi-Objective Latent Space Optimization of Generative Molecular Design Models


Multi-Objective Learning Model Predictive Control


Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization


Multi-Objective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks


Multi-Objective Loss Balancing for Physics-Informed Deep Learning


Multi-Objective Matrix Normalization for Fine-grained Visual Recognition


Multi-Objective Model-Predictive Control for Dielectric Elastomer Wave Harvesters


Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms


Multi-Objective Optimisation of Multi-Output Neural Trees


Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions


Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models


Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow


Multi-Objective Population Based Training


Multi-Objective Quality-Diversity for Crystal Structure Prediction


Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces


Multi-Objective Recommendation via Multivariate Policy Learning


Multi-Objective Reinforcement Learning for Power Grid Topology Control


Multi-Objective Task Assignment and Multiagent Planning with Hybrid GPU-CPU Acceleration


Multi-Objective Transmission Expansion: An Offshore Wind Power Integration Case Study


Multi-Observatory Research of Young Stellar Energetic Flares (MORYSEF): X-ray Flare Related Phenomena and Multi-epoch Behavior


Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoders


Multi-Operational Mathematical Derivations in Latent Space


Multi-Output Gaussian Processes for Graph-Structured Data


Multi-Outputs Is All You Need For Deblur


Multi-P$^2$A: A Multi-perspective Benchmark on Privacy Assessment for Large Vision-Language Models


Multi-Page Document Visual Question Answering using Self-Attention Scoring Mechanism


Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning


Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties


Multi-Period Liability Clearing via Convex Optimal Control


Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement


Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision


Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection


Multi-Preference Lambda-weighted Listwise DPO for Dynamic Preference Alignment


Multi-Prior Learning via Neural Architecture Search for Blind Face Restoration


Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods


Multi-Programming Language Ensemble for Code Generation in Large Language Model


Multi-Programming Language Sandbox for LLMs


Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects


Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation


Multi-Prompt with Depth Partitioned Cross-Modal Learning


Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation


Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis


Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions


Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions


Multi-Relation Aware Temporal Interaction Network Embedding


Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions


Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge


Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks


Multi-Resolution Active Learning of Fourier Neural Operators


Multi-Resolution Continuous Normalizing Flows


Multi-Resolution Data Fusion for Super Resolution Imaging


Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems


Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform


Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping


Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty


Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation


Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast Combinations


Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses


Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates


Multi-Robot Connected Fermat Spiral Coverage


Multi-Robot Coordination and Layout Design for Automated Warehousing


Multi-Robot Motion Planning with Diffusion Models


Multi-Robot Reliable Navigation in Uncertain Topological Environments with Graph Attention Networks


Multi-Robot Target Tracking with Sensing and Communication Danger Zones


Multi-Round Influence Maximization (Extended Version)


Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving


Multi-Sample based Contrastive Loss for Top-k Recommendation


Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting


Multi-Scale Adaptive Network for Single Image Denoising


Multi-Scale Attention for Audio Question Answering


Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images


Multi-Scale Boosted Dehazing Network with Dense Feature Fusion


Multi-Scale Cell Decomposition for Path Planning using Restrictive Routing Potential Fields


Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting


Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification


Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning


Multi-Scale Deep Learning for Estimating Horizontal Velocity Fields on the Solar Surface


Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification


Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis


Multi-Scale Features and Parallel Transformers Based Image Quality Assessment


Multi-Scale Fusion for Object Representation


Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection


Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images


Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains


Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation


Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression


Multi-Scale Learned Iterative Reconstruction


Multi-Scale Memory-Based Video Deblurring


Multi-Scale Network Dynamics and Systemic Risk: A Model Context Protocol Approach to Financial Markets


Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection


Multi-Scale Positive Sample Refinement for Few-Shot Object Detection


Multi-Scale Process Modelling and Distributed Computation for Spatial Data


Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based Optical FLow Estimation


Multi-Scale Representation Learning for Protein Fitness Prediction


Multi-Scale Representations by Varying Window Attention for Semantic Segmentation


Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition


Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation


Multi-Scale Texture Loss for CT denoising with GANs


Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection


Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization


Multi-Scale and Multimodal Species Distribution Modeling


Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset


Multi-Segment Reconstruction Using Invariant Features


Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition


Multi-Sensor Multi-Scan Radar Sensing of Multiple Extended Targets


Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties


Multi-Sentence Knowledge Selection in Open-Domain Dialogue


Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation


Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization


Multi-Session Visual SLAM for Illumination Invariant Re-Localization in Indoor Environments


Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning


Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction


Multi-Source Conformal Inference Under Distribution Shift


Multi-Source Cross-Lingual Model Transfer: Learning What to Share


Multi-Source Diffusion Models for Simultaneous Music Generation and Separation


Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher


Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space


Multi-Source Domain Adaptation with Mixture of Experts


Multi-Source Music Generation with Latent Diffusion


Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation


Multi-Source Spatial Knowledge Understanding for Immersive Visual Text-to-Speech


Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering


Multi-Sourced Compositional Generalization in Visual Question Answering


Multi-Sources Information Fusion Learning for Multi-Points NLOS Localization


Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification


Multi-SpaM: a Maximum-Likelihood approach to Phylogeny reconstruction based on Multiple Spaced-Word Matches


Multi-Space Alignments Towards Universal LiDAR Segmentation


Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning


Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization


Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models


Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation


Multi-Stage Contrastive Regression for Action Quality Assessment


Multi-Stage Decision Rules for Power Generation & Storage Investments with Performance Guarantees


Multi-Stage Episodic Control for Strategic Exploration in Text Games


Multi-Stage Face-Voice Association Learning with Keynote Speaker Diarization


Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks


Multi-Stage Linear Decision Rules for Stochastic Control of Natural Gas Networks with Linepack


Multi-Stage Network Embedding for Exploring Heterogeneous Edges


Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization


Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask


Multi-Stage Speaker Diarization for Noisy Classrooms


Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model


Multi-State TD Target for Model-Free Reinforcement Learning


Multi-Static ISAC in Cell-Free Massive MIMO: Precoder Design and Privacy Assessment


Multi-Static UWB Radar-based Passive Human Tracking Using COTS Devices


Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs


Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network


Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation


Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval


Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Noisy Matrix Decomposition


Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification


Multi-Stream Dynamic Video Summarization


Multi-Stream Keypoint Attention Network for Sign Language Recognition and Translation


Multi-Stream Networks and Ground-Truth Generation for Crowd Counting


Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling


Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning


Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries


Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation


Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach


Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints


Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data


Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging


Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder


Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition


Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation


Multi-Task Dense Prediction via Mixture of Low-Rank Experts


Multi-Task Driven Feature Models for Thermal Infrared Tracking


Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks


Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing


Multi-Task Handwritten Document Layout Analysis


Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations


Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?


Multi-Task Learning Enhanced Single Image De-Raining


Multi-Task Learning Framework for Emotion Recognition in-the-wild


Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations


Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models


Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection


Multi-Task Learning for Argumentation Mining in Low-Resource Settings


Multi-Task Learning for Coherence Modeling


Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base


Multi-Task Learning for Depression Detection in Dialogs


Multi-Task Learning for Features Extraction in Financial Annual Reports


Multi-Task Learning for Front-End Text Processing in TTS


Multi-Task Learning for Left Atrial Segmentation on GE-MRI


Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization


Multi-Task Learning for Screen Content Image Coding


Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives


Multi-Task Learning of Height and Semantics from Aerial Images


Multi-Task Learning of Object State Changes from Uncurated Videos


Multi-Task Learning with Group-Specific Feature Space Sharing


Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object Detection


Multi-Task Learning with Multi-Query Transformer for Dense Prediction


Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation


Multi-Task Meta Learning: learn how to adapt to unseen tasks


Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition


Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image Segmentation


Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System


Multi-Task Recommendations with Reinforcement Learning


Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition


Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts


Multi-Task Representation Learning with Multi-View Graph Convolutional Networks


Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies


Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation


Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal


Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language


Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performance


Multi-Task-oriented Nighttime Haze Imaging Enhancer for Vision-driven Measurement Systems


Multi-Tasking Genetic Algorithm (MTGA) for Fuzzy System Optimization


Multi-Teacher Knowledge Distillation For Text Image Machine Translation


Multi-Teacher Language-Aware Knowledge Distillation for Multilingual Speech Emotion Recognition


Multi-Temporal Relationship Inference in Urban Areas


Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion


Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval


Multi-Tiered Self-Contrastive Learning for Medical Microwave Radiometry (MWR) Breast Cancer Detection


Multi-Time Attention Networks for Irregularly Sampled Time Series


Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals


Multi-Timescale Ensemble Q-learning for Markov Decision Process Policy Optimization


Multi-Transmotion: Pre-trained Model for Human Motion Prediction


Multi-Tubal Rank of Third Order Tensor and Related Low Rank Tensor Completion Problem


Multi-Turn Code Generation Through Single-Step Rewards


Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose


Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences


Multi-Type-TD-TSR -- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations


Multi-UAV Collision Avoidance using Multi-Agent Reinforcement Learning with Counterfactual Credit Assignment


Multi-Unit Transformers for Neural Machine Translation


Multi-User Frequency Assignment for Ultra-Reliable mmWave Two-Ray Channels


Multi-User Mobile Augmented Reality for Cardiovascular Surgical Planning


Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users


Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative Perception


Multi-VQG: Generating Engaging Questions for Multiple Images


Multi-Variate Time Series Forecasting on Variable Subsets


Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning


Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information


Multi-View Active Fine-Grained Recognition


Multi-View Adaptive Fusion Network for 3D Object Detection


Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis


Multi-View Azimuth Stereo via Tangent Space Consistency


Multi-View Causal Representation Learning with Partial Observability


Multi-View Conformal Learning for Heterogeneous Sensor Fusion


Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis


Multi-View Deep Learning for Imaging Atmospheric Cherenkov Telescopes


Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry


Multi-View Dynamic Facial Action Unit Detection


Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR


Multi-View Graph Convolutional Network for Multimedia Recommendation


Multi-View Graph Representation Learning Beyond Homophily


Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question


Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection


Multi-View Hypercomplex Learning for Breast Cancer Screening


Multi-View Image-to-Image Translation Supervised by 3D Pose


Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive Impairment


Multi-View Learning with Context-Guided Receptance for Image Denoising


Multi-View Masked World Models for Visual Robotic Manipulation


Multi-View Mesh Reconstruction with Neural Deferred Shading


Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo


Multi-View Neural 3D Reconstruction of Micro-/Nanostructures with Atomic Force Microscopy


Multi-View Optimization of Local Feature Geometry


Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results


Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting


Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization


Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification


Multi-View Spectral Clustering for Graphs with Multiple View Structures


Multi-View Spectrogram Transformer for Respiratory Sound Classification


Multi-View Stereo 3D Edge Reconstruction


Multi-View Transformer for 3D Visual Grounding


Multi-View Vertebra Localization and Identification from CT Images


Multi-View Video-Based 3D Hand Pose Estimation


Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography


Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability


Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles


Multi-agent Architecture Search via Agentic Supernet


Multi-agent Cooperative Games Using Belief Map Assisted Training


Multi-agent Dynamic Algorithm Configuration


Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning


Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness


Multi-agent Multi-target Path Planning in Markov Decision Processes


Multi-agent Path Finding for Cooperative Autonomous Driving


Multi-agent Trajectory Prediction with Fuzzy Query Attention


Multi-agent active perception with prediction rewards


Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection


Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics


Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball


Multi-annotator Deep Learning: A Probabilistic Framework for Classification


Multi-area Target Individual Detection with Free Drawing on Video


Multi-armed Bandit and Backbone boost Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problems


Multi-armed Bandits with Missing Outcome


Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking


Multi-aspect Knowledge Distillation with Large Language Model


Multi-attacks: Many images $+$ the same adversarial attack $\to$ many target labels


Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN


Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction


Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding


Multi-behavior Self-supervised Learning for Recommendation


Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization


Multi-block linearized alternating direction method for sparse fused Lasso modeling problems


Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation


Multi-cam Multi-map Visual Inertial Localization: System, Validation and Dataset


Multi-camera Torso Pose Estimation using Graph Neural Networks


Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO


Multi-category solar radio burst detection based on task-aligned one-stage object detection model


Multi-center decomposition of molecular densities: a mathematical perspective


Multi-channel Narrow-band Deep Speech Separation with Full-band Permutation Invariant Training


Multi-channel coronal hole detection with convolutional neural networks


Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation


Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization


Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms


Multi-class Gaussian Process Classification with Noisy Inputs


Multi-class Graph Clustering via Approximated Effective $p$-Resistance


Multi-class Support Vector Machine with Maximizing Minimum Margin


Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection


Multi-clue reconstruction of sharing chains for social media images


Multi-compartment poroelastic models of perfused biological soft tissues: implementation in FEniCSx


Multi-concept Model Immunization through Differentiable Model Merging


Multi-conditioned Graph Diffusion for Neural Architecture Search


Multi-controlled Phase Gate Synthesis with ZX-calculus applied to Neutral Atom Hardware


Multi-convex Programming for Discrete Latent Factor Models Prototyping


Multi-criteria Rank-based Aggregation for Explainable AI


Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers


Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs


Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation


Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees


Multi-dimensional domain generalization with low-rank structures


Multi-dimensional optical imaging on a chip


Multi-dimensional optimisation of the scanning strategy for the LiteBIRD space mission


Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning


Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering


Multi-domain Learning for Updating Face Anti-spoofing Models


Multi-domain Recommendation with Embedding Disentangling and Domain Alignment


Multi-entity Video Transformers for Fine-Grained Video Representation Learning


Multi-experiment parameter identifiability of ODEs and model theory


Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models


Multi-facet Contextual Bandits: A Neural Network Perspective


Multi-feature Co-learning for Image Inpainting


Multi-feature Dataset for Windows PE Malware Classification


Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence


Multi-fidelity Bayesian experimental design to quantify extreme-event statistics


Multi-fidelity Emulator for Cosmological Large Scale 21 cm Lightcone Images: a Few-shot Transfer Learning Approach with GAN


Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale Geological Carbon Storage


Multi-fidelity Hierarchical Neural Processes


Multi-fidelity Neural Architecture Search with Knowledge Distillation


Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models


Multi-fidelity reduced-order surrogate modeling


Multi-field dark energy: cosmic acceleration on a steep potential


Multi-field inflation with large scalar fluctuations: non-Gaussianity and perturbativity


Multi-filter UV to NIR Data-driven Light Curve Templates for Stripped Envelope Supernovae


Multi-focal Conditioned Latent Diffusion for Person Image Synthesis


Multi-frequency Black Hole Imaging for the Next-Generation Event Horizon Telescope


Multi-goal Rapidly Exploring Random Tree with Safety and Dynamic Constraints for UAV Cooperative Path Planning


Multi-goal path planning using multiple random trees


Multi-grained Hypergraph Interest Modeling for Conversational Recommendation


Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling


Multi-grained Semantics-aware Graph Neural Networks


Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation


Multi-granular Legal Topic Classification on Greek Legislation


Multi-granular Software Annotation using File-level Weak Labelling


Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question Answering


Multi-granularity for knowledge distillation


Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering


Multi-graph Fusion for Multi-view Spectral Clustering


Multi-head Attention-based Deep Multiple Instance Learning


Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification


Multi-hop Attention Graph Neural Network


Multi-hop Convolutions on Weighted Graphs


Multi-hop Differential Topology based Algorithms for Resilient Network of UAV Swarm


Multi-hop Evidence Retrieval for Cross-document Relation Extraction


Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning


Multi-hop Inference for Question-driven Summarization


Multi-hop Question Generation with Graph Convolutional Network


Multi-hop Reading Comprehension through Question Decomposition and Rescoring


Multi-hop assortativities for networks classification


Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images


Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions


Multi-index Sequential Monte Carlo ratio estimators for Bayesian Inverse problems


Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection


Multi-instance Point Cloud Registration by Efficient Correspondence Clustering


Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning


Multi-instrument Music Synthesis with Spectrogram Diffusion


Multi-intention Inverse Q-learning for Interpretable Behavior Representation


Multi-interacting dark energy and its cosmological implications


Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection


Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation


Multi-kernel Correntropy-based Orientation Estimation of IMUs: Gradient Descent Methods


Multi-label Categorization of Accounts of Sexism using a Neural Framework


Multi-label Classification for Android Malware Based on Active Learning


Multi-label Classification via Adaptive Resonance Theory-based Clustering


Multi-label Classification with Partial Annotations using Class-aware Selective Loss


Multi-label Cloud Segmentation Using a Deep Network


Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition


Multi-label Dataless Text Classification with Topic Modeling


Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs


Multi-label Learning with Random Circular Vectors


Multi-label Scandinavian Language Identification (SLIDE)


Multi-label Sequential Sentence Classification via Large Language Model


Multi-label Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning


Multi-label affordance mapping from egocentric vision


Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection


Multi-label audio classification with a noisy zero-shot teacher


Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning


Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?


Multi-label learning for dynamic model type recommendation


Multi-layer State Evolution Under Random Convolutional Design


Multi-layer Trajectory Clustering: A Network Algorithm for Disease Subtyping


Multi-layer network approach in modeling epidemics in an urban town


Multi-layer random features and the approximation power of neural networks


Multi-layered Cepstrum for Instantaneous Frequency Estimation


Multi-layered Safety of Redundant Robot Manipulators via Task-oriented Planning and Control


Multi-layered Semantic Representation Network for Multi-label Image Classification


Multi-level Adaptation for Automatic Landing with Engine Failure under Turbulent Weather


Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization


Multi-level Consistency Learning for Semi-supervised Domain Adaptation


Multi-level Contrastive Learning for Script-based Character Understanding


Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image Scenes


Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System


Multi-level Distance Regularization for Deep Metric Learning


Multi-level Feature Learning for Contrastive Multi-view Clustering


Multi-level Knowledge Distillation via Knowledge Alignment and Correlation


Multi-level Matching Network for Multimodal Entity Linking


Multi-level Memory for Task Oriented Dialogs


Multi-level Memory-Centric Profiling on ARM Processors with ARM SPE


Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding


Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification


Multi-level Product Category Prediction through Text Classification


Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image Classification


Multi-level Second-order Few-shot Learning


Multi-level Semantic Feature Augmentation for One-shot Learning


Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video


Multi-level analysis of compiler induced variability and performance tradeoffs


Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet


Multi-level reversible encryption for ECG signals using compressive sensing


Multi-level tree based approach for interactive graph visualization with semantic zoom


Multi-lingual agents through multi-headed neural networks


Multi-locus data distinguishes between population growth and multiple merger coalescents


Multi-mapping Image-to-Image Translation via Learning Disentanglement


Multi-marginal Schrödinger Bridges with Iterative Reference Refinement


Multi-market Optimal Energy Storage Arbitrage with Capacity Blocking for Emergency Services


Multi-messenger observations of binary neutron star mergers in the O4 run


Multi-messenger prospects for black hole - neutron star mergers in the O4 and O5 runs


Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection


Multi-modal Attention Network for Stock Movements Prediction


Multi-modal Auto-regressive Modeling via Visual Words


Multi-modal Bifurcated Network for Depth Guided Image Relighting


Multi-modal Collaborative Optimization and Expansion Network for Event-assisted Single-eye Expression Recognition


Multi-modal Conditional Bounding Box Regression for Music Score Following


Multi-modal Contrastive Representation Learning for Entity Alignment


Multi-modal Crowd Counting via a Broker Modality


Multi-modal Cycle-consistent Generalized Zero-Shot Learning


Multi-modal Depression Estimation based on Sub-attentional Fusion


Multi-modal Differentiable Unsupervised Feature Selection


Multi-modal Ensemble Models for Predicting Video Memorability


Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion


Multi-modal Generation via Cross-Modal In-Context Learning


Multi-modal Graph Learning for Disease Prediction


Multi-modal Graph Learning over UMLS Knowledge Graphs


Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer


Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception


Multi-modal Integrated Prediction and Decision-making with Adaptive Interaction Modality Explorations


Multi-modal Knowledge Distillation-based Human Trajectory Forecasting


Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling


Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations


Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing


Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations


Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptoms


Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark


Multi-modal Queried Object Detection in the Wild


Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations


Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward


Multi-modal Semantic SLAM for Complex Dynamic Environments


Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment


Multi-modal Situated Reasoning in 3D Scenes


Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network


Multi-modal Stance Detection: New Datasets and Model


Multi-modal Time Series Analysis: A Tutorial and Survey


Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing


Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training


Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space


Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech


Multi-modal brain encoding models for multi-modal stimuli


Multi-modal fusion with gating using audio, lexical and disfluency features for Alzheimer's Dementia recognition from spontaneous speech


Multi-modal learning for geospatial vegetation forecasting


Multi-modal vision-language model for generalizable annotation-free pathology localization and clinical diagnosis


Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT


Multi-modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation


Multi-modality Anomaly Segmentation on the Road


Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation


Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation


Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics


Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer


Multi-model Ensemble Conformal Prediction in Dynamic Environments


Multi-objective Bayesian Optimisation of Spinodoid Cellular Structures for Crush Energy Absorption


Multi-objective Bayesian optimization for design of Pareto-optimal current drive profiles in STEP


Multi-objective Bayesian optimization of ferroelectric materials with interfacial control for memory and energy storage applications


Multi-objective Combinatorial Methodology for Nuclear Reactor Site Assessment: A Case Study for the United States


Multi-objective Deep Reinforcement Learning for Mobile Edge Computing


Multi-objective Differentiable Neural Architecture Search


Multi-objective Good Arm Identification with Bandit Feedback


Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards


Multi-objective Optimisation Framework for Blue-Green Infrastructure Placement Using Detailed Flood Model


Multi-objective Optimization by Learning Space Partitions


Multi-objective Pointer Network for Combinatorial Optimization


Multi-objective Reinforcement learning from AI Feedback


Multi-objective evolutionary GAN for tabular data synthesis


Multi-objective optimisation using expected quantile improvement for decision making in disease outbreaks


Multi-objective optimization based network control principles for identifying personalized drug targets with cancer


Multi-objective optimization via equivariant deep hypervolume approximation


Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain


Multi-objective robust controller synthesis with integral quadratic constraints in discrete-time


Multi-objects Generation with Amortized Structural Regularization


Multi-omics Prediction from High-content Cellular Imaging with Deep Learning


Multi-order Graph Clustering with Adaptive Node-level Weight Learning


Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction


Multi-output Ensembles for Multi-step Forecasting


Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems


Multi-output multilevel best linear unbiased estimators via semidefinite programming


Multi-particle interpolating operators in quantum field theories with cubic symmetry


Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering


Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry


Multi-person 3D pose estimation from unlabelled data


Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models


Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics


Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report


Multi-pooled Inception features for no-reference image quality assessment


Multi-product maximal covering second-level facility location problem


Multi-property Steering of Large Language Models with Dynamic Activation Composition


Multi-queue Momentum Contrast for Microvideo-Product Retrieval


Multi-reference Quantum Davidson Algorithm for Quantum Dynamics


Multi-reference alignment in high dimensions: sample complexity and phase transition


Multi-relation Message Passing for Multi-label Text Classification


Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification


Multi-relational Poincaré Graph Embeddings


Multi-representations Space Separation based Graph-level Anomaly-aware Detection


Multi-resolution CSI Feedback with deep learning in Massive MIMO System


Multi-resolution Guided 3D GANs for Medical Image Translation


Multi-resolution Low-rank Tensor Formats


Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition


Multi-resolution Multi-task Gaussian Processes


Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems


Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference


Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI


Multi-resolution filtering: an empirical method for isolating faint, extended emission in Dragonfly data and other low resolution images


Multi-robot Task Allocation and Path Planning with Maximum Range Constraints


Multi-robot task allocation for safe planning against stochastic hazard dynamics


Multi-role Consensus through LLMs Discussions for Vulnerability Detection


Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising


Multi-scale Anomaly Detection on Attributed Networks


Multi-scale Attention Guided Pose Transfer


Multi-scale Attention Network for Single Image Super-Resolution


Multi-scale Attentive Image De-raining Networks via Neural Architecture Search


Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection


Multi-scale Cascaded Large-Model for Whole-body ROI Segmentation


Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes


Multi-scale Diffusion Denoised Smoothing


Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition


Multi-scale Edge-based U-shape Network for Salient Object Detection


Multi-scale Feature Learning Dynamics: Insights for Double Descent


Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT images


Multi-scale HSV Color Feature Embedding for High-fidelity NIR-to-RGB Spectrum Translation


Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation


Multi-scale Image Decomposition using a Local Statistical Edge Model


Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform


Multi-scale Interactive Network for Salient Object Detection


Multi-scale Investigation of Chemical Short-Range Order and Dislocation Glide in the MoNbTi and TaNbTi Refractory Multi-Principal Element Alloys


Multi-scale Local Network Structure Critically Impacts Epidemic Spread and Interventions


Multi-scale Matching Networks for Semantic Correspondence


Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators


Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing


Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images


Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network


Multi-scale Self-calibrated Network for Image Light Source Transfer


Multi-scale Time-stepping of Partial Differential Equations with Transformers


Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting


Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting


Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals


Multi-scale Wasserstein Shortest-path Graph Kernels for Graph Classification


Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation


Multi-scale cross-attention transformer encoder for event classification


Multi-scale decomposition of astronomical maps -- a constrained diffusion method


Multi-scale decomposition of sea surface height snapshots using machine learning


Multi-scale deep neural networks for real image super-resolution


Multi-scale self-guided attention for medical image segmentation


Multi-scale super-resolution generation of low-resolution scanned pathological images


Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography


Multi-sense embeddings through a word sense disambiguation process


Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging


Multi-sensory Integration in a Quantum-Like Robot Perception Model


Multi-set Canonical Correlation Analysis simply explained


Multi-shot Temporal Event Localization: a Benchmark


Multi-similarity based Hyperrelation Network for few-shot segmentation


Multi-site Diagnostic Classification Of Schizophrenia Using 3D CNN On Aggregated Task-based fMRI Data


Multi-site Reaction Dynamics Through Multi-fragment Density Matrix Embedding


Multi-site modelling and reconstruction of past extreme skew surges along the French Atlantic coast


Multi-skill Mobile Manipulation for Object Rearrangement


Multi-source Attention for Unsupervised Domain Adaptation


Multi-source Distilling Domain Adaptation


Multi-source Domain Adaptation for Panoramic Semantic Segmentation


Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network


Multi-source Neural Topic Modeling in Multi-view Embedding Spaces


Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation


Multi-source self-calibration: Unveiling the microJy population of compact radio sources


Multi-source weak supervision for saliency detection


Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation


Multi-spectral Class Center Network for Face Manipulation Detection and Localization


Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark


Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images


Multi-stage Deep Classifier Cascades for Open World Recognition


Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching


Multi-stage Euler-Maruyama methods for backward stochastic differential equations driven by continuous-time Markov chains


Multi-stage Group Testing with (r,s)-regular design Algorithms


Multi-stage Learning for Radar Pulse Activity Segmentation


Multi-stage Pre-training over Simplified Multimodal Pre-training Models


Multi-stage Stochastic Programming Methods for Adaptive Disaster Relief Logistics Planning


Multi-stage feature decorrelation constraints for improving CNN classification performance


Multi-stage image denoising with the wavelet transform


Multi-state MRAM cells for hardware neuromorphic computing


Multi-step Cascaded Networks for Brain Tumor Segmentation


Multi-step Jailbreaking Privacy Attacks on ChatGPT


Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering


Multi-step feature fusion for natural disaster damage assessment on satellite images


Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition


Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images


Multi-stream Fusion for Class Incremental Learning in Pill Image Classification


Multi-study factor regression model: an application in nutritional epidemiology


Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks


Multi-target Detection with an Arbitrary Spacing Distribution


Multi-target Extractor and Detector for Unknown-number Speaker Diarization


Multi-target quantum compilation algorithm


Multi-target stain normalization for histology slides


Multi-task Active Learning for Pre-trained Transformer-based Models


Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction


Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation


Multi-task Ensembles with Crowdsourced Features Improve Skin Lesion Diagnosis


Multi-task Heterogeneous Graph Learning on Electronic Health Records


Multi-task Hierarchical Adversarial Inverse Reinforcement Learning


Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation


Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification


Multi-task Learning Approach for Intracranial Hemorrhage Prognosis


Multi-task Learning for Cross-Lingual Sentiment Analysis


Multi-task Learning for Low-resource Second Language Acquisition Modeling


Multi-task Learning for Radar Signal Characterisation


Multi-task Learning for Sparse Traffic Forecasting


Multi-task Learning for Target-dependent Sentiment Classification


Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification


Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces


Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification


Multi-task Maximum Entropy Inverse Reinforcement Learning


Multi-task Meta Label Correction for Time Series Prediction


Multi-task Pairwise Neural Ranking for Hashtag Segmentation


Multi-task Planar Reconstruction with Feature Warping Guidance


Multi-task Pre-training Language Model for Semantic Network Completion


Multi-task Regularization Based on Infrequent Classes for Audio Captioning


Multi-task Representation Learning for Mixed Integer Linear Programming


Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization


Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images


Multi-task View Synthesis with Neural Radiance Fields


Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints


Multi-task deep learning for large-scale building detail extraction from high-resolution satellite imagery


Multi-task deep-learning for sleep event detection and stage classification


Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems


Multi-task head pose estimation in-the-wild


Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI


Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy


Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides


Multi-task learning on the edge: cost-efficiency and theoretical optimality


Multi-task learning with compressible features for Collaborative Intelligence


Multi-task pre-training of deep neural networks for digital pathology


Multi-task problems are not multi-objective


Multi-tasking Dialogue Comprehension with Discourse Parsing


Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory


Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation


Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants


Multi-treatment Effect Estimation from Biomedical Data


Multi-turn Inference Matching Network for Natural Language Inference


Multi-turn Reinforcement Learning from Preference Human Feedback


Multi-turn Response Selection using Dialogue Dependency Relations


Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance


Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains


Multi-view Aggregation Network for Dichotomous Image Segmentation


Multi-view Attention for gestational age at birth prediction


Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs


Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks


Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras


Multi-view Gradient Consistency for SVBRDF Estimation of Complex Scenes under Natural Illumination


Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction


Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI


Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation


Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation


Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots


Multi-view Inference for Relation Extraction with Uncertain Knowledge


Multi-view Information Bottleneck Without Variational Approximation


Multi-view Information Integration and Propagation for Occluded Person Re-identification


Multi-view Intent Disentangle Graph Networks for Bundle Recommendation


Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation


Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes


Multi-view Inversion for 3D-aware Generative Adversarial Networks


Multi-view Knowledge Graph Embedding for Entity Alignment


Multi-view Multi-behavior Contrastive Learning in Recommendation


Multi-view Multi-label Fine-grained Emotion Decoding from Human Brain Activity


Multi-view Self-supervised Disentanglement for General Image Denoising


Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles


Multi-view Subspace Clustering Networks with Local and Global Graph Information


Multi-view Surface Reconstruction Using Normal and Reflectance Cues


Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis


Multi-view Tracking Using Weakly Supervised Human Motion Prediction


Multi-view analysis of unregistered medical images using cross-view transformers


Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion


Multi-view autoencoders for Fake News Detection


Multi-view biclustering via non-negative matrix tri-factorisation


Multi-view biomedical foundation models for molecule-target and property prediction


Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles


Multi-view self-supervised learning for multivariate variable-channel time series


Multi-view shape estimation of transparent containers


Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images


Multi-way Interacting Regression via Factorization Machines


Multi-way Monte Carlo Method for Linear Systems


Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization


Multi-winner Approval Voting Goes Epistemic


Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog


Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models


Multi: a Formal Playground for Multi-Smart Contract Interaction


MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels


MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents


MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment


MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs


MultiBench: Multiscale Benchmarks for Multimodal Representation Learning


MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization


MultiBooth: Towards Generating All Your Concepts in an Image from Text


MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation


MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale


MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning


MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs


MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems


MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting


MultiClimate: Multimodal Stance Detection on Climate Change Videos


MultiConIR: Towards multi-condition Information Retrieval


MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection


MultiDLO: Simultaneous Shape Tracking of Multiple Deformable Linear Objects with Global-Local Topology Preservation


MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification


MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation


MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation


MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching


MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images


MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge


MultiFun-DAG: Multivariate Functional Directed Acyclic Graph


MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs


MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples


MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations


MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili


MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data


MultiHoax: A Dataset of Multi-hop False-Premise Questions


MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries


MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning


MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset


MultiLingPoT: Enhancing Mathematical Reasoning with Multilingual Program Fine-tuning


MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selection


MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages