Instabilities of ring-rivulets: Impact of substrate wettability


Instability of the massive Klein-Gordon field on the Kerr spacetime


InstanT: Semi-supervised Learning with Instance-dependent Thresholds


Instance-Dependent Noisy Label Learning via Graphical Modelling


Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator


Instant tissue field and magnetic susceptibility mapping from MR raw phase using Laplacian enabled deep neural networks


InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds


Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions


InstructCoder: Instruction Tuning Large Language Models for Code Editing


InstructDiffusion: A Generalist Modeling Interface for Vision Tasks


Instruction-Level Abstraction (ILA): A Uniform Specification for System-on-Chip (SoC) Verification


Instruction-driven history-aware policies for robotic manipulations


InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER


Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation


Integer-Programming Ensemble of Temporal-Relations Classifiers


Integer-only Zero-shot Quantization for Efficient Speech Recognition


Integral Concurrent Learning: Adaptive Control with Parameter Convergence without PE or State Derivatives


Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence


Integrated Sequence Tagging for Medieval Latin Using Deep Representation Learning


Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients


Integrating Additional Knowledge Into Estimation of Graphical Models


Integrating Distributed Architectures in Highly Modular RL Libraries


Integrating Generic Sensor Fusion Algorithms with Sound State Representations through Encapsulation of Manifolds


Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering


Integrating Remote Attestation with Transport Layer Security


Integrating and querying similar tables from PDF documents using deep learning


Integrating multi-fidelity blood flow data with reduced-order data assimilation


Integrating topic modeling and word embedding to characterize violent deaths


Integration and Simulation of Bivariate Projective-Cauchy Distributions within Arbitrary Polygonal Domains


Integration of CUDA Processing within the C++ library for parallelism and concurrency (HPX)


Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures


Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning


Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only


Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?


Intelligent Reflecting Surfaces: Physics, Propagation, and Pathloss Modeling


Intent Classification in Question-Answering Using LSTM Architectures


Intentional Gesture: Deliver Your Intentions with Gestures for Speech


Inter-SubNet: Speech Enhancement with Subband Interaction


Inter-slice Context Residual Learning for 3D Medical Image Segmentation


Interaction Region Visual Transformer for Egocentric Action Anticipation


Interaction-aware Factorization Machines for Recommender Systems


Interaction-tuned Anderson versus Mott localization


Interactive Camera Network Design using a Virtual Reality Interface


Interactive Dimensionality Reduction for Comparative Analysis


Interactive Language: Talking to Robots in Real Time


Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks


Interactive Object Segmentation in 3D Point Clouds


Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents


Interactive Removal and Ground Truth for Difficult Shadow Scenes


Interactive Robot Transition Repair With SMT


Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach


Interface learning of multiphysics and multiscale systems


Interferometric Single-Shot Parity Measurement in an InAs-Al Hybrid Device


Intermittent Demand Forecasting with Deep Renewal Processes


InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD


InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks


Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection


International Large Detector: Interim Design Report


Interoperability From Kieker to OpenTelemetry: Demonstrated as Export to ExplorViz


InterpoNet, A brain inspired neural network for optical flow dense interpolation


Interpolating between Images with Diffusion Models


Interpolating between small- and large-$g$ expansions using Bayesian Model Mixing


Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs


Interpolation between Residual and Non-Residual Networks


Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks


Interpolation-based semi-supervised learning for object detection


Interpretable Almost-Matching-Exactly With Instrumental Variables


Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network


Interpretable Machine Learning for High-Strength High-Entropy Alloy Design


Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels


Interpretable Neuron Structuring with Graph Spectral Regularization


Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions


Interpretable Rumor Detection in Microblogs by Attending to User Interactions


Interpretable Scientific Discovery with Symbolic Regression: A Review


Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings


Interpretable Selection and Visualization of Features and Interactions Using Bayesian Forests


Interpretable Unsupervised Diversity Denoising and Artefact Removal


Interpretable and Accurate Fine-grained Recognition via Region Grouping


Interpretable inverse design of particle spectral emissivity using machine learning


Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning


Interpretation of Neural Networks is Fragile


Interpretations are useful: penalizing explanations to align neural networks with prior knowledge


Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis


Interpreting and Disentangling Feature Components of Various Complexity from DNNs


Interspeech 2021 Deep Noise Suppression Challenge


Intervention Design for Effective Sim2Real Transfer


Intraclass clustering: an implicit learning ability that regularizes DNNs


Intragranular Strain Estimation in Far-Field Scanning X-ray Diffraction using a Gaussian Processes


Intriguing Properties of Contrastive Losses


Intriguing Properties of Vision Transformers


Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning


Intrinsic Image Decomposition via Ordinal Shading


Intrinsic momentum transport in up-down asymmetric tokamaks


Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting


IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing


Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning


IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis


Introducing AIC model averaging in ecological niche modeling: a single-algorithm multi-model strategy to account for uncertainty in suitability predictions


Introducing Graph Cumulants: What is the Variance of Your Social Network?


Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset


Introducing RONEC -- the Romanian Named Entity Corpus


Introducing a differentiable measure of pointwise shared information


Introducing a new multi-particle collision method for the evolution of dense stellar systems. Crash-test N-body simulations


Introducing the ICBe Dataset: Very High Recall and Precision Event Extraction from Narratives about International Crises


Introduction to Chaos in Deterministic Systems


Introduction to Machine Learning: Class Notes 67577


Introduction to Tensor Decompositions and their Applications in Machine Learning


Introduction to the Diffusion Monte Carlo Method


Introductory physics: The new scholasticism


Introspection: Accelerating Neural Network Training By Learning Weight Evolution


Intrusion Detection Using Mouse Dynamics


Intuitive, Interactive Beard and Hair Synthesis with Generative Models


InvVis: Large-Scale Data Embedding for Invertible Visualization


Invariant Representations without Adversarial Training


Inverse Classification for Comparison-based Interpretability in Machine Learning


Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks


Inverse Optimal Control with Incomplete Observations


Inverse Probability Weighted Estimators of Vaccine Effects Accommodating Partial Interference and Censoring


Inverse Structural Design of Graphene/Boron Nitride Hybrids by Regressional GAN


Inverse design of soft materials via a deep-learning-based evolutionary strategy


InverseForm: A Loss Function for Structured Boundary-Aware Segmentation


Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration


Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets


Inverting Gradients -- How easy is it to break privacy in federated learning?


Inverting Visual Representations with Convolutional Networks


Inverting face embeddings with convolutional neural networks


Investigating Capsule Networks with Dynamic Routing for Text Classification


Investigating Efficiently Extending Transformers for Long Input Summarization


Investigating Emotion-Color Association in Deep Neural Networks


Investigating Human Priors for Playing Video Games


Investigating Limit Order Book Characteristics for Short Term Price Prediction: a Machine Learning Approach


Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension


Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block


Investigating naturalistic hand movements by behavior mining in long-term video and neural recordings


Investigating the Effects of Word Substitution Errors on Sentence Embeddings


Investigating the Working of Text Classifiers


Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR


Investigation of Different Skeleton Features for CNN-based 3D Action Recognition


Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer


Invisible Steganography via Generative Adversarial Networks


Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks


IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study


IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT


IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for Healthcare


Ion Concentration Dynamics as a Mechanism for Neuronal Bursting


IrRep: symmetry eigenvalues and irreducible representations of ab initio band structures


Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks


Irreducible network backbones: unbiased graph filtering via maximum entropy


Is ChatGPT a General-Purpose Natural Language Processing Task Solver?


Is Depth Really Necessary for Salient Object Detection?


Is Machine Learning Ready for Traffic Engineering Optimization?


Is This a Joke? Detecting Humor in Spanish Tweets


Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding


Is deep learning necessary for simple classification tasks?


Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras


Is rotation forest the best classifier for problems with continuous features?


Is the $Y(2175)$ a Strangeonium Hybrid Meson?


Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning


Island Loss for Learning Discriminative Features in Facial Expression Recognition


IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification


Isospectralization, or how to hear shape, style, and correspondence


It's All in the Name: A Character Based Approach To Infer Religion


It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition


It's Not Easy Being Three: The Approximability of Three-Dimensional Stable Matching Problems


It's a Thin Line Between Love and Hate: Using the Echo in Modeling Dynamics of Racist Online Communities


Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach


Iterative Cauchy Thresholding: Regularisation with a heavy-tailed prior


Iterative Context-Aware Graph Inference for Visual Dialog


Iterative Correction of Sensor Degradation and a Bayesian Multi-Sensor Data Fusion Method


Iterative Hard Thresholding for Compressed Sensing


Iterative Inversion of Deformation Vector Fields with Feedback Control


Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning


Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods


Iterative PET Image Reconstruction Using Convolutional Neural Network Representation


Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design


Iterative Refinement for Real-Time Multi-Robot Path Planning


Iterative Reinforcement Learning Based Design of Dynamic Locomotion Skills for Cassie


Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning


Iterative Residual CNNs for Burst Photography Applications


Iterative Symbolic Regression for Learning Transport Equations


Iterative energy-based projection on a normal data manifold for anomaly localization


Iterative peak-fitting of frequency-domain data via deep convolution neural networks


Iterative regularization for convex regularizers


Itinerant topological magnons in Haldane Hubbard model with a nearly-flat electron band


JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework


JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models


JIDT: An information-theoretic toolkit for studying the dynamics of complex systems


JSSS: free Japanese speech corpus for summarization and simplification


JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis


Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels


JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks


JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs


Jamba-1.5: Hybrid Transformer-Mamba Models at Scale


JaxMARL: Multi-Agent RL Environments and Algorithms in JAX


JeSemE: A Website for Exploring Diachronic Changes in Word Meaning and Emotion


Jet transition values for the anti-$k_{\bot}$ algorithm


Jigsaw: Learning to Assemble Multiple Fractured Objects


Joint Activity Recognition and Indoor Localization


Joint Bayesian component separation and CMB power spectrum estimation


Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging


Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning


Joint Contrastive Learning for Unsupervised Domain Adaptation


Joint Deep Modeling of Users and Items Using Reviews for Recommendation


Joint Embedding of 3D Scan and CAD Objects


Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications


Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy


Joint High Dynamic Range Imaging and Super-Resolution from a Single Image


Joint Implicit Image Function for Guided Depth Super-Resolution


Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting


Joint Learning of 3D Shape Retrieval and Deformation


Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks


Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences


Joint Learning of Multiple Differential Networks with fMRI data for Brain Connectivity Alteration Detection


Joint Material and Illumination Estimation from Photo Sets in the Wild


Joint Matrix-Tensor Factorization for Knowledge Base Inference


Joint Monocular 3D Vehicle Detection and Tracking


Joint Multiclass Debiasing of Word Embeddings


Joint Multilingual Knowledge Graph Completion and Alignment


Joint Optimization Framework for Learning with Noisy Labels


Joint Power Allocation in Interference-Limited Networks via Distributed Coordinated Learning


Joint RNN Model for Argument Component Boundary Detection


Joint Reasoning for Multi-Faceted Commonsense Knowledge


Joint Receiver Design for Integrated Sensing and Communications


Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network


Joint Training of Deep Ensembles Fails Due to Learner Collusion


Joint processing of linguistic properties in brains and language models


Joint-task Self-supervised Learning for Temporal Correspondence


JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets


Jointly Learning to Label Sentences and Tokens


Jointly Optimizing Placement and Inference for Beacon-based Localization


Jordan products of quantum channels and their compatibility


Josephson Detection of Time Reversal Symmetry Broken Superconductivity in SnTe Nanowires


Josephson and Andreev transport through quantum dots


Journal of Open Source Software (JOSS): design and first-year review


Journey Towards Tiny Perceptual Super-Resolution


Julia: A Fast Dynamic Language for Technical Computing


Julia: A Fresh Approach to Numerical Computing


JuriBERT: A Masked-Language Model Adaptation for French Legal Text


Just Take the Average! An Embarrassingly Simple $2^n$-Time Algorithm for SVP (and CVP)


K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters


K-Adaptive Partitioning for Survival Data, with an Application to Cancer Staging


K-BERT: Enabling Language Representation with Knowledge Graph


K-groups: A Generalization of K-means Clustering


KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation


KDTREE 2: Fortran 95 and C++ software to efficiently search for near neighbors in a multi-dimensional Euclidean space


KETOD: Knowledge-Enriched Task-Oriented Dialogue


KGAP: Knowledge Graph Augmented Political Perspective Detection in News Media


KGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution


KITE: high-performance accurate modelling of electronic structure and response functions of large molecules, disordered crystals and heterostructures


KL-Divergence Guided Temperature Sampling


KNOSOS: a fast orbit-averaging neoclassical code for arbitrary stellarator geometry


KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filtering


KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA


KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base


Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation


Kangaroo Methods for Solving the Interval Discrete Logarithm Problem


Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image


KeepAugment: A Simple Information-Preserving Data Augmentation Approach


Keeping CALM: When Distributed Consistency is Easy


Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism


Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards


Kepler Flares II: The Temporal Morphology of White-Light Flares on GJ 1243


Kepler-503b: An Object at the Hydrogen Burning Mass Limit Orbiting a Subgiant Star


Kernel Distributionally Robust Optimization


Kernel Flows: from learning kernels from data into the abyss


Kernel Mode Decomposition and programmable/interpretable regression networks


Kernel Semi-Implicit Variational Inference


Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods


Kernel-Based Smoothness Analysis of Residual Networks


Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding


Kernel-convoluted Deep Neural Networks with Data Augmentation


KernelBench: Can LLMs Write Efficient GPU Kernels?


Kernelized Cumulants: Beyond Kernel Mean Embeddings


Kernelized Similarity Learning and Embedding for Dynamic Texture Synthesis


Key-Locked Rank One Editing for Text-to-Image Personalization


Key-Value Memory Networks for Directly Reading Documents


Keyframe-based monocular SLAM: design, survey, and future directions


Keys in the Clouds: Auditable Multi-device Access to Cryptographic Credentials


Keyword-Attentive Deep Semantic Matching


Keyword-Guided Neural Conversational Model


KiDS+VIKING-450 and DES-Y1 combined: Cosmology with cosmic shear


KiDS-450: Enhancing cosmic shear with clipping transformations


KiT-RT: An extendable framework for radiative transfer and therapy


KiloGrams: Very Large N-Grams for Malware Classification


Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned


Kimi k1.5: Scaling Reinforcement Learning with LLMs


Kinematic 3D Object Detection in Monocular Video


Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language


Kinetic multiscale scheme based on the discrete-velocity and lattice-Boltzmann methods


Kinodynamic RRT*: Optimal Motion Planning for Systems with Linear Differential Constraints


Kinship Identification through Joint Learning Using Kinship Verification Ensembles


Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline


Know Your Master: Driver Profiling-based Anti-theft Method


Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning


Knowledge Base Completion: Baseline strikes back (Again)


Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling


Knowledge Distillation for End-to-End Person Search


Knowledge Graph Embedding with 3D Compound Geometric Transformations


Knowledge Hypergraphs: Prediction Beyond Binary Relations


Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing


Knowledge Transfer Based Fine-grained Visual Classification


Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation


Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation


Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes


Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control


Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition


Knowledge-Based Automatic Generation of Linear Algebra Algorithms and Code


KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction


Koka: Programming with Row Polymorphic Effect Types


KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment


Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors


Koopman Spectrum Nonlinear Regulators and Efficient Online Learning


Korean-English Machine Translation with Multiple Tokenization Strategy


KrigHedge: Gaussian Process Surrogates for Delta Hedging


KrigR -- A tool for downloading and statistically downscaling climate reanalysis data


Kwant: a software package for quantum transport


L-FLAT: Logtalk Toolkit for Formal Languages and Automata Theory


L-HYDRA: Multi-Head Physics-Informed Neural Networks


L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning


L2-Relaxation: With Applications to Forecast Combination and Portfolio Analysis


L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation


L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments


LABR: A Large Scale Arabic Sentiment Analysis Benchmark


LADDER: Language Driven Slice Discovery and Error Rectification


LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup


LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning


LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints


LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior


LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning


LASPATED: a Library for the Analysis of SPAtio-TEmporal Discrete data


LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification


LATIS: The Ly$\alpha$ Tomography IMACS Survey


LCA-Net: Light Convolutional Autoencoder for Image Dehazing


LCNN: Low-level Feature Embedded CNN for Salient Object Detection


LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor


LEAF: A Learnable Frontend for Audio Classification


LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks


LEDITS++: Limitless Image Editing using Text-to-Image Models


LEGO: Learning Edge with Geometry all at Once by Watching Videos


LEO Satellite Access Network (LEO-SAN) Towards 6G: Challenges and Approaches


LEO: Learning Energy-based Models in Factor Graph Optimization


LFI-CAM: Learning Feature Importance for Better Visual Explanation


LFP beta amplitude is predictive of mesoscopic spatio-temporal phase patterns


LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network


LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation


LGViT: Dynamic Early Exiting for Accelerating Vision Transformer


LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning


LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks


LIMP: Learning Latent Shape Representations with Metric Preservation Priors


LINE: Large-scale Information Network Embedding


LIPT: Latency-aware Image Processing Transformer


LIRS: Enabling efficient machine learning on NVM-based storage via a lightweight implementation of random shuffling


LLF-Bench: Benchmark for Interactive Learning from Language Feedback


LLHD: A Multi-level Intermediate Representation for Hardware Description Languages


LLM Augmented LLMs: Expanding Capabilities through Composition


LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models


LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback


LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation


LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation


LLMZip: Lossless Text Compression using Large Language Models


LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations


LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model


LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day


LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models


LLaVA-OneVision: Easy Visual Task Transfer


LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models


LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation


LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretability


LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL


LODE: Deep Local Deblurring and A New Benchmark


LOGAN: Latent Optimisation for Generative Adversarial Networks


LOGAN: Membership Inference Attacks Against Generative Models


LOHO: Latent Optimization of Hairstyles via Orthogonalization


LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation


LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers


LP-IOANet: Efficient High Resolution Document Shadow Removal


LRM: Large Reconstruction Model for Single Image to 3D


LRTuner: A Learning Rate Tuner for Deep Neural Networks


LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks


LSDA: Large Scale Detection Through Adaptation


LSMVOS: Long-Short-Term Similarity Matching for Video Object


LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark


LSQ+: Improving low-bit quantization through learnable offsets and better initialization


LSST: from Science Drivers to Reference Design and Anticipated Data Products


LSTD: A Low-Shot Transfer Detector for Object Detection


LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances


LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization


LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks


LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net


LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation


LUDB: a new open-access validation tool for electrocardiogram delineation algorithms


LUME: LLM Unlearning with Multitask Evaluations


LVIS: A Dataset for Large Vocabulary Instance Segmentation


LXMERT Model Compression for Visual Question Answering


LXMERT: Learning Cross-Modality Encoder Representations from Transformers


LaRa: Efficient Large-Baseline Radiance Fields


LaTr: Layout-Aware Transformer for Scene-Text VQA


LaVAN: Localized and Visible Adversarial Noise


Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias


Label Embedded Dictionary Learning for Image Classification


Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification


Label Semantics for Few Shot Named Entity Recognition


Label-Only Model Inversion Attacks via Boundary Repulsion


LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes


Lale: Consistent Automated Machine Learning


LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant


LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas


LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings


LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery


Landau quantization of multilayer graphene on a Haldane sphere


Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric Data


Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units


Langevin dynamics with spatial correlations as a model for electron-phonon coupling


Language Bootstrapping: Learning Word Meanings From Perception-Action Association


Language Instructed Reinforcement Learning for Human-AI Coordination


Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation


Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective Tasks


Language Model Crossover: Variation through Few-Shot Prompting


Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training


Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data


Language Models Represent Beliefs of Self and Others


Language Models are Drummers: Drum Composition with Natural Language Pre-Training


Language Models are Open Knowledge Graphs


Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment


Language Representation Models for Fine-Grained Sentiment Classification


Language Technology Programme for Icelandic 2019-2023


Language Through a Prism: A Spectral Approach for Multiscale Language Representations


Language Understanding for Text-based Games Using Deep Reinforcement Learning


Language-Conditioned Graph Networks for Relational Reasoning


Laplace approximation for logistic Gaussian process density estimation and regression


Laplacian-P-splines for Bayesian inference in the mixture cure model


Large Batch Training Does Not Need Warmup


Large Covariance Estimation by Thresholding Principal Orthogonal Complements


Large Language Model based Long-tail Query Rewriting in Taobao Search


Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction


Large Language Models are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models


Large Language Models as Test Case Generators: Performance Evaluation and Enhancement


Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design


Large Margin Deep Networks for Classification


Large Scale Image Segmentation with Structured Loss based Deep Learning for Connectome Reconstruction


Large Scale Product Graph Construction for Recommendation in E-commerce


Large Scale Real-World Multi-Person Tracking


Large image datasets: A pyrrhic win for computer vision?


Large scale citation matching using Apache Hadoop


Large-Scale Evaluation of Keyphrase Extraction Models


Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach


Large-Scale Long-Tailed Recognition in an Open World


Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing


Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video


Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator


Large-Scale and Fine-Grained Evaluation of Popular JPEG Forgery Localization Schemes


Large-dimensional Factor Analysis without Moment Constraints


Large-scale Quantum Approximate Optimization via Divide-and-Conquer


Large-scale orientational order in bacterial colonies during inward growth


Large-scale weakly supervised audio classification using gated convolutional neural network


Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks


Laser Guide Star for Large Segmented-Aperture Space Telescopes, Part I: Implications for Terrestrial Exoplanet Detection and Observatory Stability


Laser-plasma interactions with a Fourier-Bessel Particle-in-Cell method


Lasing in the superradiant crossover regime


Lasso hyperinterpolation over general regions


Late reverberation suppression using U-nets


Latency-Aware Differentiable Neural Architecture Search


Latent Bayesian melding for integrating individual and population models


Latent Diffusion Counterfactual Explanations


Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey


Latent Distribution Adjusting for Face Anti-Spoofing


Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction


Latent Plans for Task-Agnostic Offline Reinforcement Learning


Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking


Latent Replay for Real-Time Continual Learning


Latent Space Oddity: Exploring Latent Spaces to Design Guitar Timbres


Latent Space Oddity: on the Curvature of Deep Generative Models


Latent Unexpected and Useful Recommendation


Latent Variable Dialogue Models and their Diversity


Latent dynamical variables produce signatures of spatiotemporal criticality in large biological systems


Latent regularization for feature selection using kernel methods in tumor classification


Latent variable model selection for Gaussian conditional random fields


Latent-Variable Advantage-Weighted Policy Optimization for Offline RL


LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation


LatentKeypointGAN: Controlling Images via Latent Keypoints


Launchpad: A Programming Model for Distributed Machine Learning Research


LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT


Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention


Lawn: an Unbound Low Latency Timer Data Structure for Large Scale, High Throughput Systems


Layer-Resolved Absorption of Light in Arbitrarily Anisotropic Heterostructures


Layered Neural Atlases for Consistent Video Editing


Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis


LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators


LayoutGMN: Neural Graph Matching for Structural Layout Similarity


LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation


LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image


LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis


LayoutTransformer: Layout Generation and Completion with Self-attention


LayoutVAE: Stochastic Scene Layout Generation From a Label Set


Layouts from Panoramic Images with Geometry and Deep Learning


LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech


Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network


Lean-auto: An Interface between Lean 4 and Automated Theorem Provers


LeanAgent: Lifelong Learning for Formal Theorem Proving


Learn on Source, Refine on Target:A Model Transfer Learning Framework with Random Forests


Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning


Learn&Fuzz: Machine Learning for Input Fuzzing


Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness


Learnable Digital Twin for Efficient Wireless Network Evaluation


Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding


Learnable PINs: Cross-Modal Embeddings for Person Identity


Learnable Uncertainty under Laplace Approximations


Learned Cardinalities: Estimating Correlated Joins with Deep Learning


Learned Proximal Networks for Quantitative Susceptibility Mapping


Learned SPARCOM: Unfolded Deep Super-Resolution Microscopy


Learned convex regularizers for inverse problems


Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language


Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats


Learning 3D Human Pose from Structure and Motion


Learning 3D Part Assembly from a Single Image


Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks


Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations


Learning Accurate and Interpretable Decision Rule Sets from Neural Networks


Learning Adaptive Embedding Considering Incremental Class


Learning Aerial Image Segmentation from Online Maps


Learning Affinity-Aware Upsampling for Deep Image Matting


Learning Affordance Landscapes for Interaction Exploration in 3D Environments


Learning Algebraic Recombination for Compositional Generalization


Learning Algebraic Structures: Preliminary Investigations


Learning Alignment for Multimodal Emotion Recognition from Speech


Learning Approximate Inference Networks for Structured Prediction


Learning Articulated Motions From Visual Demonstration


Learning Attentive Pairwise Interaction for Fine-Grained Classification


Learning Attribute-Structure Co-Evolutions in Dynamic Graphs


Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation


Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation


Learning Autonomous Race Driving with Action Mapping Reinforcement Learning


Learning Background-Aware Correlation Filters for Visual Tracking


Learning Based Proximity Matrix Factorization for Node Embedding


Learning Bayesian Networks with the bnlearn R Package


Learning Causal Abstractions of Linear Structural Causal Models


Learning Chained Deep Features and Classifiers for Cascade in Object Detection


Learning Classifiers on Positive and Unlabeled Data with Policy Gradient


Learning Co-segmentation by Segment Swapping for Retrieval and Discovery


Learning Code-Edit Embedding to Model Student Debugging Behavior


Learning Compressed Sentence Representations for On-Device Text Processing


Learning Concise Models from Long Execution Traces


Learning Context-aware Classifier for Semantic Segmentation


Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training


Learning Continuous Control Policies by Stochastic Value Gradients


Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction


Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry


Learning Continuous Semantic Representations of Symbolic Expressions


Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement


Learning Convolutional Networks for Content-weighted Image Compression


Learning Correspondence from the Cycle-Consistency of Time


Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency


Learning Cross-Modal Deep Representations for Robust Pedestrian Detection


Learning Crosslingual Word Embeddings without Bilingual Corpora


Learning Curriculum Policies for Reinforcement Learning


Learning Curves for Analysis of Deep Networks


Learning Decomposed Representation for Counterfactual Inference


Learning Deconvolution Network for Semantic Segmentation


Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic


Learning Deep Disentangled Embeddings with the F-Statistic Loss


Learning Deep Generative Models with Annealed Importance Sampling


Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks


Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking


Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees


Learning Deep Representations of Fine-grained Visual Descriptions


Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work


Learning Defense Transformers for Counterattacking Adversarial Examples


Learning Dense Hand Contact Estimation from Imbalanced Data


Learning Depth Estimation for Transparent and Mirror Surfaces


Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields


Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks


Learning Disentangled Representations via Mutual Information Estimation


Learning Dynamic Alignment via Meta-filter for Few-shot Learning


Learning Dynamic Boltzmann Distributions as Reduced Models of Spatial Chemical Kinetics


Learning Dynamic Routing for Semantic Segmentation


Learning Dynamical Systems with Side Information


Learning Edge Representations via Low-Rank Asymmetric Projections


Learning Effective Changes For Software Projects


Learning Efficient Surrogate Dynamic Models with Graph Spline Networks


Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation


Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision


Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching


Learning Environmental Sounds with Multi-scale Convolutional Neural Network


Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient


Learning Face Age Progression: A Pyramid Architecture of GANs


Learning Fair Node Representations with Graph Counterfactual Fairness


Learning Fair Representations via an Adversarial Framework


Learning Fair and Interpretable Representations via Linear Orthogonalization


Learning Fashion Compatibility with Bidirectional LSTMs


Learning Feature Descriptors using Camera Pose Supervision


Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks


Learning Feynman Diagrams with Tensor Trains


Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces


Learning Gaussian Instance Segmentation in Point Clouds


Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing


Learning Generative Models with Sinkhorn Divergences


Learning Genomic Representations to Predict Clinical Outcomes in Cancer


Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection


Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching


Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations


Learning Group Activities from Skeletons without Individual Action Labels


Learning Harmonized Representations for Speculative Sampling


Learning Hierarchical Control for Robust In-Hand Manipulation


Learning Hierarchical Interactions at Scale: A Convex Optimization Approach


Learning Hierarchical Semantic Image Manipulation through Structured Representations


Learning Implicit Generative Models with the Method of Learned Moments


Learning Instance-Aware Object Detection Using Determinantal Point Processes


Learning Interactions and Relationships between Movie Characters


Learning Intrinsic Image Decomposition from Watching the World


Learning Inverse Rendering of Faces from Real-world Videos


Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations


Learning Language from a Large (Unannotated) Corpus


Learning Latent Dynamics for Partially-Observed Chaotic Systems


Learning Latent Fractional dynamics with Unknown Unknowns


Learning Latent Space Energy-Based Prior Model


Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters


Learning Latent Subspaces in Variational Autoencoders


Learning Likelihoods with Conditional Normalizing Flows


Learning Linear Transformations for Fast Arbitrary Style Transfer


Learning Longer-term Dependencies in RNNs with Auxiliary Losses


Learning Matching Representations for Individualized Organ Transplantation Allocation


Learning Maximally Predictive Prototypes in Multiple Instance Learning


Learning Memory-Based Control for Human-Scale Bipedal Locomotion


Learning Meta-class Memory for Few-Shot Semantic Segmentation


Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms


Learning Modulated Loss for Rotated Object Detection


Learning Moment Closure in Reaction-Diffusion Systems with Spatial Dynamic Boltzmann Distributions


Learning Monocular Depth by Distilling Cross-domain Stereo Networks


Learning Moore Machines from Input-Output Traces


Learning More Universal Representations for Transfer-Learning


Learning Motion Priors for 4D Human Body Capture in 3D Scenes


Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention


Learning Nearest Neighbor Graphs from Noisy Distance Samples


Learning Neural Causal Models from Unknown Interventions


Learning Neuro-symbolic Programs for Language Guided Robot Manipulation


Learning Non-Lambertian Object Intrinsics across ShapeNet Categories


Learning Nonlinear Functions Using Regularized Greedy Forest


Learning Object Manipulation Skills via Approximate State Estimation from Real Videos


Learning Object Relation Graph and Tentative Policy for Visual Navigation


Learning Off-Policy with Online Planning


Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks


Learning Open Set Network with Discriminative Reciprocal Points


Learning Optimal Control Policies for Stochastic Systems with a Relaxed Bellman Operator


Learning Ordered Representations with Nested Dropout


Learning Parameter Sharing with Tensor Decompositions and Sparsity


Learning Parameters and Constitutive Relationships with Physics Informed Deep Neural Networks


Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles


Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis


Learning Permutation Invariant Representations using Memory Networks


Learning Permutations with Sinkhorn Policy Gradient


Learning Phase Competition for Traffic Signal Control


Learning Photography Aesthetics with Deep CNNs


Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data


Learning Predictive Representations for Deformable Objects Using Contrastive Estimation


Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting


Learning Rate Adaptation for Federated and Differentially Private Learning


Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation


Learning Recurrent Span Representations for Extractive Question Answering


Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection


Learning Residual Images for Face Attribute Manipulation


Learning Resolution Parameters for Graph Clustering


Learning Rich Features from RGB-D Images for Object Detection and Segmentation


Learning Robust Rewards with Adversarial Inverse Reinforcement Learning


Learning Robustness with Bounded Failure: An Iterative MPC Approach


Learning SO(3) Equivariant Representations with Spherical CNNs


Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates


Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search


Learning Self-Consistency for Deepfake Detection


Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling


Learning Semantic Correspondence with Sparse Annotations


Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator


Learning Semantic Textual Similarity from Conversations


Learning Sentiment Memories for Sentiment Modification without Parallel Data


Learning Sequence Encoders for Temporal Knowledge Graph Completion


Learning Sound Events From Webly Labeled Data


Learning Space Partitions for Nearest Neighbor Search


Learning Sparse Networks Using Targeted Dropout


Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation


Learning Structural Node Embeddings Via Diffusion Wavelets


Learning Structured Sparsity in Deep Neural Networks


Learning Symbolic Operators for Task and Motion Planning


Learning Symmetric and Low-energy Locomotion


Learning Temporal Regularity in Video Sequences


Learning Thermodynamics with Boltzmann Machines


Learning To Split and Rephrase From Wikipedia Edit History


Learning Unbiased Representations via Rényi Minimization


Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning


Learning Universal Shape Dictionary for Realtime Instance Segmentation


Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency


Learning Visual Commonsense for Robust Scene Graph Generation


Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism


Learning Visual Importance for Graphic Designs and Data Visualizations


Learning Visual Question Answering by Bootstrapping Hard Attention


Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation


Learning a Decentralized Multi-arm Motion Planner


Learning a Dilated Residual Network for SAR Image Despeckling


Learning a Discriminative Feature Network for Semantic Segmentation


Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition


Learning a Fixed-Length Fingerprint Representation


Learning a Neural-network-based Representation for Open Set Recognition


Learning a Representation for Cover Song Identification Using Convolutional Neural Network


Learning a Repression Network for Precise Vehicle Search


Learning a Spatio-Temporal Embedding for Video Instance Segmentation


Learning a Variational Network for Reconstruction of Accelerated MRI Data


Learning an Uncertainty-Aware Object Detector for Autonomous Driving


Learning and Executing Re-usable Behaviour Trees from Natural Language Instruction


Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences


Learning by Association - A versatile semi-supervised training method for neural networks


Learning by example: fast reliability-aware seismic imaging with normalizing flows


Learning document embeddings along with their uncertainties


Learning for Disparity Estimation through Feature Constancy


Learning for Multi-Type Subspace Clustering


Learning from Crowds by Modeling Common Confusions


Learning from Dialogue after Deployment: Feed Yourself, Chatbot!


Learning from Imperfect Demonstrations from Agents with Varying Dynamics


Learning from Millions of 3D Scans for Large-scale 3D Face Recognition


Learning from Mistakes -- A Framework for Neural Architecture Search


Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling


Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation


Learning from graphs with structural variation


Learning from positive and unlabeled data: a survey


Learning from the Density to Correct Total Energy and Forces in First Principle Simulations


Learning from various labeling strategies for suicide-related messages on social media: An experimental study


Learning hierarchical relationships for object-goal navigation


Learning how to explain neural networks: PatternNet and PatternAttribution


Learning human behaviors from motion capture by adversarial imitation


Learning image-to-image translation using paired and unpaired training samples


Learning low-frequency temporal patterns for quantitative trading


Learning non-Markovian Decision-Making from State-only Sequences


Learning of Image Dehazing Models for Segmentation Tasks


Learning on the Edge: Explicit Boundary Handling in CNNs


Learning on-top: regressing the on-top pair density for real-space visualization of electron correlation


Learning parametric dictionaries for graph signals


Learning physical properties of anomalous random walks using graph neural networks


Learning protein constitutive motifs from sequence data


Learning rigid dynamics with face interaction graph networks


Learning short-term past as predictor of human behavior in commercial buildings


Learning specialized activation functions with the Piecewise Linear Unit


Learning structure-aware semantic segmentation with image-level supervision


Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images


Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics


Learning the geometry of wave-based imaging


Learning the quantum algorithm for state overlap


Learning to Act from Actionless Videos through Dense Correspondences


Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection


Learning to Anonymize Faces for Privacy Preserving Action Detection


Learning to Compose Neural Networks for Question Answering


Learning to Compose Task-Specific Tree Structures


Learning to Control in Metric Space with Optimal Regret


Learning to Correlate in Multi-Player General-Sum Sequential Games


Learning to Customize Network Security Rules


Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection


Learning to Detect and Retrieve Objects from Unlabeled Videos


Learning to Discover Sparse Graphical Models


Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning


Learning to Discriminate Information for Online Action Detection


Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining


Learning to Drop: Robust Graph Neural Network via Topological Denoising


Learning to Embed Time Series Patches Independently


Learning to Encode Position for Transformer with Continuous Dynamical Model


Learning to Estimate Indoor Lighting from 3D Objects


Learning to Explain Non-Standard English Words and Phrases


Learning to Extract a Video Sequence from a Single Motion-Blurred Image


Learning to Fly via Deep Model-Based Reinforcement Learning


Learning to Forecast and Refine Residual Motion for Image-to-Video Generation


Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation


Learning to Generate Chairs, Tables and Cars with Convolutional Networks


Learning to Generate Long-term Future via Hierarchical Prediction


Learning to Generate Novel Domains for Domain Generalization


Learning to Generate Parameters of ConvNets for Unseen Image Data


Learning to Generate Reviews and Discovering Sentiment


Learning to Generate Samples from Noise through Infusion Training


Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks


Learning to Grasp 3D Objects using Deep Residual U-Nets


Learning to Group Auxiliary Datasets for Molecule


Learning to Infer Graphics Programs from Hand-Drawn Images


Learning to Invert: Signal Recovery via Deep Convolutional Networks


Learning to Learn Kernels with Variational Random Features


Learning to Learn Words from Visual Scenes


Learning to Learn from Weak Supervision by Full Supervision


Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs


Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications


Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks


Learning to Make Predictions on Graphs with Autoencoders


Learning to Manipulate Object Collections Using Grounded State Representations


Learning to Map Vehicles into Bird's Eye View


Learning to Merge Tokens in Vision Transformers


Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry


Learning to Optimize Multigrid PDE Solvers


Learning to Pivot with Adversarial Networks


Learning to Play Sequential Games versus Unknown Opponents


Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer


Learning to Predict Streaming Video QoE: Distortions, Rebuffering and Memory


Learning to Predict Without Looking Ahead: World Models Without Forward Prediction


Learning to Prompt for Continual Learning


Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture


Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation


Learning to Reason: End-to-End Module Networks for Visual Question Answering


Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop


Learning to Reflect and to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimation


Learning to Regrasp by Learning to Place


Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision


Learning to Render Novel Views from Wide-Baseline Stereo Pairs


Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation


Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller


Learning to Segment 3D Point Clouds in 2D Image Space


Learning to Select Knowledge for Response Generation in Dialog Systems


Learning to Solve a Rubik's Cube with a Dexterous Hand


Learning to Split for Automatic Bias Detection


Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks


Learning to Stop While Learning to Predict


Learning to Synthesize Programs as Interpretable and Generalizable Policies


Learning to Synthesize a 4D RGBD Light Field from a Single Image


Learning to Tokenize for Generative Retrieval


Learning to Transfer Examples for Partial Domain Adaptation


Learning to Understand Goal Specifications by Modelling Reward


Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments


Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning


Learning to Walk with Dual Agents for Knowledge Graph Reasoning


Learning to correct spectral methods for simulating turbulent flows


Learning to count with deep object features


Learning to fool the speaker recognition


Learning to learn with backpropagation of Hebbian plasticity


Learning to learn with quantum neural networks via classical neural networks


Learning to plan with uncertain topological maps


Learning unbiased zero-shot semantic segmentation networks via transductive transfer


Learning visual groups from co-occurrences in space and time


Learning with Differentiable Perturbed Optimizers


Learning with Sets in Multiple Instance Regression Applied to Remote Sensing


Learning with Stochastic Guidance for Navigation


Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples


Learning-based Bias Correction for Time Difference of Arrival Ultra-wideband Localization of Resource-constrained Mobile Robots


Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems


Learning-based Video Motion Magnification


LearningWord Embeddings for Low-resource Languages by PU Learning


Least Squares Optimization: from Theory to Practice


Least squares binary quantization of neural networks


Least squares fitting of circles and lines


Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning


Lectures on Jacques Herbrand as a Logician


Lectures on Randomized Numerical Linear Algebra


Legislator Representation Learning with Social Context and Expert Knowledge


LemmaTag: Jointly Tagging and Lemmatizing for Morphologically-Rich Languages with BRNNs


Leptoquark toolbox for precision collider studies


Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report


Less is More: A privacy-respecting Android malware classifier using Federated Learning


Less is More: Nyström Computational Regularization


Lessons on Parameter Sharing across Layers in Transformers


Let's Transfer Transformations of Shared Semantic Representations


Letter of Intent to Construct a nuPRISM Detector in the J-PARC Neutrino Beamline


Letter to Sound Rules for Accented Lexicon Compression


Lettuce: PyTorch-based Lattice Boltzmann Framework


Leveraged Weighted Loss for Partial Label Learning


Leveraging 2D Data to Learn Textured 3D Mesh Generation


Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery


Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection


Leveraging Contact Forces for Learning to Grasp


Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards


Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network


Leveraging Geometry for Shape Estimation from a Single RGB Image


Leveraging Graph to Improve Abstractive Multi-Document Summarization


Leveraging High-Dimensional Side Information for Top-N Recommendation


Leveraging LLMs for On-the-Fly Instruction Guided Image Editing


Leveraging Legacy Data to Accelerate Materials Design via Preference Learning


Leveraging PRS and PDSCH for Integrated Sensing and Communication Systems


Leveraging Self-Supervised Models for Automatic Whispered Speech Recognition


Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo


Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning


Leveraging Virtual and Real Person for Unsupervised Person Re-identification


Leveraging redundancy in attention with Reuse Transformers


Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification


Lexical Simplification with Pretrained Encoders


Lexical semantic change for Ancient Greek and Latin


Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding


LiD-FL: Towards List-Decodable Federated Learning


LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving


LiSu: A Dataset and Method for LiDAR Surface Normal Estimation


Libra R-CNN: Towards Balanced Learning for Object Detection


LieTransformer: Equivariant self-attention for Lie Groups


Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes


LifeTox: Unveiling Implicit Toxicity in Life Advice


Lifelong Domain Word Embedding via Meta-Learning


Lifelong Learning based Disease Diagnosis on Clinical Notes


Lifelong Learning with a Changing Action Set


Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks


Lifetime of short-period binaries measured from their Galactic kinematics


Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems


Lifting Interpretability-Performance Trade-off via Automated Feature Engineering


Lifting Layers: Analysis and Applications


Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering


Light Field Reconstruction Using Shearlet Transform


Light Phase Detection with On-Chip Petahertz Electronic Networks


Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images


Light-Weight RefineNet for Real-Time Semantic Segmentation


Light-Weighted CNN for Text Classification


Light-matter coupling and quantum geometry in moiré materials


LightPIR: Privacy-Preserving Route Discovery for Payment Channel Networks


LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models


LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search


Lightwave Power Transfer for Federated Learning-based Wireless Networks


Lightweight Fingerprints for Fast Approximate Keyword Matching Using Bitwise Operations


Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation


Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning


Lightweight Network Architecture for Real-Time Action Recognition


Lightweight Record-and-Replay for Intermittent Tests Failures


Lightweight Residual Densely Connected Convolutional Neural Network


Lightweight Simulation of Hybrid Aerial- and Ground-based Vehicular Communication Networks


Lightweight, Multi-Stage, Compiler-Assisted Application Specialization


Like-sign dileptons with mirror type composite neutrinos at the HL-LHC


Likelihood Ratios for Out-of-Distribution Detection


Likelihood-free MCMC with Amortized Approximate Ratio Estimators


Limb and gravity-darkening coefficients for the TESS satellite at several metallicities, surface gravities, and microturbulent velocities


Limbo: A Fast and Flexible Library for Bayesian Optimization


Limited role of spatial self-structuring in emergent trade-offs during pathogen evolution


Line Graph Neural Networks for Link Prediction


LineCap: Line Charts for Data Visualization Captioning Models


Linear Convergence of First- and Zeroth-Order Primal-Dual Algorithms for Distributed Nonconvex Optimization


Linear Dynamics & Control of Brain Networks


Linear Haskell: practical linearity in a higher-order polymorphic language


Linear Mixed-Effects Models for Non-Gaussian Repeated Measurement Data


Linear Support Tensor Machine: Pedestrian Detection in Thermal Infrared Images


Linear Time Algorithm for Weak Parity Games


Linear Vlasov theory of a magnetised, thermally stratified atmosphere


Linear complexity SimRank computation based on the iterative diagonal estimation


Linear encoding of the spatiotemporal cat


Linear models and linear mixed effects models in R with linguistic applications


Linear polarization-direction correlations in $γ$-ray scattering experiments


Linear pooling of sample covariance matrices


Linear regression with stationary errors : the R package slm


Linear time dynamic programming for the exact path of optimal models selected from a finite set


Linear-Cost Covariance Functions for Gaussian Random Fields


Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field


Linear-Time Online Algorithm Inferring the Shortest Path from a Walk


Linearizability of eigenvector nonlinearities


Linearly-constrained Linear Quadratic Regulator from the viewpoint of kernel methods


Linguistic Properties of Truthful Response


Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling


Link Prediction Using Supervised Machine Learning based on Aggregated and Topological Features


Link Prediction in Real-World Multiplex Networks via Layer Reconstruction Method


Link Prediction in Social Networks: the State-of-the-Art


Link Prediction on Latent Heterogeneous Graphs


Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects


Linking evolutionary and ecological theory illuminates non-equilibrium biodiversity


Linking resource selection and step selection models for habitat preferences in animals


Links: A High-Dimensional Online Clustering Method


Lip-to-Speech Synthesis in the Wild with Multi-task Learning


Lipreading using Temporal Convolutional Networks


Lipschitz-constrained Unsupervised Skill Discovery


Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis


ListOps: A Diagnostic Dataset for Latent Tree Learning


Listen to Look: Action Recognition by Previewing Audio


Listing All Maximal Cliques in Large Sparse Real-World Graphs


Listwise View Ranking for Image Cropping


LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation


LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation


Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing


Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation


Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations


LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models


Load on the Typical Poisson Voronoi Cell with Clustered User Distribution


Local Aggregation for Unsupervised Learning of Visual Embeddings


Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking


Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning


Local Differential Privacy for Deep Learning


Local Gradients Smoothing: Defense against localized adversarial attacks


Local Integrals of Motion in Quasiperiodic Many-Body Localized Systems


Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines


Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging


Local Saddle Point Optimization: A Curvature Exploitation Approach


Local Spectral Graph Convolution for Point Set Feature Learning


Local Supermassive Black Holes, Relics of Active Galactic Nuclei and the X-ray Background


Local Temperature Scaling for Probability Calibration


Local quantum Fisher information and local quantum uncertainty in two qubit Heisenberg XYZ chain with Dzyaloshinskii Moriya interactions


Local2Global: Scaling global representation learning on graphs via local training


Localization Accuracy Improvement in Multistatic ISAC with LoS/NLoS Condition using 5G NR Signals


Localization and Mapping of Sparse Geologic Features with Unpiloted Aircraft Systems


Localization length exponent in two models of quantum Hall plateau transitions


Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning


Localized Conformal Prediction: A Generalized Inference Framework for Conformal Prediction


Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification


Localizing Anomalies from Weakly-Labeled Videos


Localizing Changes in High-Dimensional Vector Autoregressive Processes


Localizing Moments in Video with Natural Language


Localizing Moments in Video with Temporal Language


Localizing Object-level Shape Variations with Text-to-Image Diffusion Models


Locally Differentially Private Analysis of Graph Statistics


Locally Private Bayesian Inference for Count Models


Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D


Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis


Log-Regularly Varying Scale Mixture of Normals for Robust Regression


Log-barrier interior point methods are not strongly polynomial


Log-concave sampling: Metropolis-Hastings algorithms are fast


Log-time and Log-space Extreme Classification


Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization


Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge


Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models


LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications


Long Short-Term Memory with Dynamic Skip Connections


Long short-term memory and learning-to-learn in networks of spiking neurons


Long short-term memory networks in memristor crossbars


Long-Range Correlations and Memory in the Dynamics of Internet Interdomain Routing


Long-Term Effect Estimation with Surrogate Representation


Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks


Long-Term Timing of Millisecond Pulsars and Gravitational Wave Detection


Long-Term Visual Object Tracking Benchmark


Long-term Forecasting using Higher Order Tensor RNNs


Long-term Temporal Convolutions for Action Recognition


LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding


LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models


Longest common substring with approximately $k$ mismatches


Longest-path attacks on complex networks


Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer


Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image


Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks


Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark


Look, Listen, and Act: Towards Audio-Visual Embodied Navigation


Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets


Looking back at Labels: A Class based Domain Adaptation Technique


Looking for Clues of Language in Multilingual BERT to Improve Cross-lingual Generalization


Loop corrections in spin models through density consistency


LoopStack: a Lightweight Tensor Algebra Compiler Stack


Looped Transformers as Programmable Computers


Loopy Belief Propagation for Approximate Inference: An Empirical Study


Lorentz Boost Networks: Autonomous Physics-Inspired Feature Engineering


Lorentz Group Equivariant Neural Network for Particle Physics


Loss convergence in a causal Bayesian neural network of retail firm performance


Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion


Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities


Lossless Acceleration for Seq2seq Generation with Aggressive Decoding


Lossless Coding of Point Cloud Geometry using a Deep Generative Model


Lossless, Scalable Implicit Likelihood Inference for Cosmological Fields


Lossy Image Compression with Quantized Hierarchical VAEs


Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams


Lost in Space: Geolocation in Event Data


Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction


Low Complexity Iterative Rake Decision Feedback Equalizer for Zero-Padded OTFS systems


Low Frequency Tilt Seismology with a Precision Ground Rotation Sensor


Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping


Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse


Low Rank Approximation and Regression in Input Sparsity Time


Low Rank Factorization for Compact Multi-Head Self-Attention


Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees


Low-Cost Fiducial-based 6-Axis Force-Torque Sensor


Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)


Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression


Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing


Low-Rank Factorization of Determinantal Point Processes for Recommendation


Low-Rank Few-Shot Adaptation of Vision-Language Models


Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability


Low-Shot Learning with Imprinted Weights


Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systems


Low-frequency Compensated Synthetic Impulse Responses for Improved Far-field Speech Recognition


Low-latency auditory spatial attention detection based on spectro-spatial features from EEG


Low-loss connection of weight vectors: distribution-based approaches


Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation


LuNet: A Deep Neural Network for Network Intrusion Detection


Ludii -- The Ludemic General Game System


Lumen: A Machine Learning Framework to Expose Influence Cues in Text


Lumiere: A Space-Time Diffusion Model for Video Generation


Luminosity Measurement at the International Linear Collider


Lung Nodule Classification using Deep Local-Global Networks


LwPosr: Lightweight Efficient Fine-Grained Head Pose Estimation


Lyapunov Theory for Discrete Time Systems


Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks


Lévy Flights of the Collective Imagination


M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction


M2N: Mesh Movement Networks for PDE Solvers


M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients


M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations


M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training


MAANet: Multi-view Aware Attention Networks for Image Super-Resolution


MACA: A Modular Architecture for Conversational Agents


MACRec: a Multi-Agent Collaboration Framework for Recommendation


MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks


MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM


MAML is a Noisy Contrastive Learner in Classification


MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents


MAP inference via Block-Coordinate Frank-Wolfe Algorithm


MAP-CSI: Single-site Map-Assisted Localization Using Massive MIMO CSI


MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment


MASS: MoErging through Adaptive Subspace Selection


MASTER of the CMB Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex CMB Data Sets


MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors


MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale


MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning


MBT: A Memory-Based Part of Speech Tagger-Generator


MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation (MCE) Plan, Dataset and Baseline System


MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets


MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding


MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics


MEBOW: Monocular Estimation of Body Orientation In the Wild


MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction


MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science


MENSADB: A Thorough Structural Analysis of Membrane Protein Dimers


MERLOT: Multimodal Neural Script Knowledge Models


MFNets: Data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources


MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs


MGAN-CRCM: A Novel Multiple Generative Adversarial Network and Coarse-Refinement Based Cognizant Method for Image Inpainting


MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network


MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response


MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU


MIGHTEE: Deep 1.4 GHz Source Counts and the Sky Temperature Contribution of Star Forming Galaxies and Active Galactic Nuclei


MINER: Multiscale Implicit Neural Representations


MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback


MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection


MKT J170456.2-482100: the first transient discovered by MeerKAT


MLJ: A Julia package for composable machine learning


MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis


MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment


MM-VID: Advancing Video Understanding with GPT-4V(ision)


MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark


MMF: A loss extension for feature learning in open set recognition


MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark


MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations


MMM : Exploring Conditional Multi-Track Music Generation with the Transformer


MMTM: Multimodal Transfer Module for CNN Fusion


MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models


MODNet-V: Improving Portrait Video Matting via Background Restoration


MODS -- A USV-oriented object detection and obstacle segmentation benchmark


MODS: Fast and Robust Method for Two-View Matching


MOF-BC: A Memory Optimized and Flexible BlockChain for Large Scale Networks


MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design


MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks


MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos


MOSS: End-to-End Dialog System Framework with Modular Supervision


MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking


MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints


MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas


MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation


MPLP: Learning a Message Passing Learning Protocol


MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction


MQA: Answering the Question via Robotic Manipulation


MRFMap: Online Probabilistic 3D Mapping using Forward Ray Sensor Models


MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition


MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation


MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection


MSE-Optimal Neural Network Initialization via Layer Fusion


MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos


MSeg: A Composite Dataset for Multi-domain Semantic Segmentation


MT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs


MTet: Multi-domain Translation for English and Vietnamese


MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks


MURAUER: Mapping Unlabeled Real Data for Label AUstERity


MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction


MUSE: Machine Unlearning Six-Way Evaluation for Language Models


MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation


MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings


MV-Adapter: Multi-view Consistent Image Generation Made Easy


MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds


MVDepthNet: Real-time Multiview Depth Estimation Neural Network


MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck


MVF-Net: Multi-View 3D Face Morphable Model Regression


MVPSNet: Fast Generalizable Multi-view Photometric Stereo


MVSNet: Depth Inference for Unstructured Multi-view Stereo


MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems


MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems


MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware


MaGGIe: Masked Guided Gradual Human Instance Matting


MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers


Macaw: A Machine Code Toolbox for the Busy Binary Analyst


Machine Comprehension Using Match-LSTM and Answer Pointer


Machine Learned H\"uckel Theory: Interfacing Physics and Deep Neural Networks


Machine Learning Assisted Phase-less Millimeter-Wave Beam Alignment in Multipath Channels


Machine Learning Based Analysis of Finnish World War II Photographers


Machine Learning Based Featureless Signalling


Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators


Machine Learning Classification Informed by a Functional Biophysical System


Machine Learning Coupled Trajectory and Communication Design for UAV-Facilitated Wireless Networks


Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide


Machine Learning Predicts Laboratory Earthquakes


Machine Learning Spatial Geometry from Entanglement Features


Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation


Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air


Machine Learning in Astronomy: a practical overview


Machine Learning in the Quantum Age: Quantum vs. Classical Support Vector Machines


Machine Learning of Energetic Material Properties


Machine Learning of Linear Differential Equations using Gaussian Processes


Machine Learning with a Reject Option: A survey


Machine Learning, Quantum Mechanics, and Chemical Compound Space


Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data


Machine learning active-nematic hydrodynamics


Machine learning approach for segmenting glands in colon histology images using local intensity and texture features


Machine learning determination of dynamical parameters: The Ising model case


Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks


Machine learning for music genre: multifaceted review and experimentation with audioset


Machine learning for predicting the Bz magnetic field component from upstream in situ observations of solar coronal mass ejections


Machine learning for predicting thermal power consumption of the Mars Express Spacecraft


Machine learning for the diagnosis of Parkinson's disease: A systematic review


Machine learning in policy evaluation: new tools for causal inference


Machine learning modeling of superconducting critical temperature


Machine learning modeling of the atomic structure and physical properties of alkali and alkaline-earth aluminosilicate glasses and melts


Machine learning-guided synthesis of advanced inorganic materials


Machine-learning based prediction of small molecule -- surface interaction potentials


Machine-learning-based reduced order modeling for unsteady flows around bluff bodies of various shapes


Magic numbers in polymer phase separation -- the importance of being rigid


MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model


MagicDrive: Street View Generation with Diverse 3D Geometry Control


Magma ocean evolution at arbitrary redox state


Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip


Major TOM: Expandable Datasets for Earth Observation


Make It Count: Text-to-Image Generation with an Accurate Number of Objects


Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors


Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation


Making Deep Q-learning methods robust to time discretization


Making Neural QA as Simple as Possible but not Simpler


Making Reads in BFT State Machine Replication Fast, Linearizable, and Live


Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning


Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring


Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs


Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors


Malaria Detection Using Image Processing and Machine Learning


Malware Detection with LSTM using Opcode Language


Mamba in Speech: Towards an Alternative to Self-Attention


Mamba-R: Vision Mamba ALSO Needs Registers


Mamba-SEUNet: Mamba UNet for Monaural Speech Enhancement


MambaOut: Do We Really Need Mamba for Vision?


MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking


Managing FAIR Knowledge Graphs as Polyglot Data End Points: A Benchmark based on the rdf2pg Framework and Plant Biology Data


Manifold Denoising by Nonlinear Robust Principal Component Analysis


Manifold Gaussian Processes for Regression


Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior


Manifold Regularization for Locally Stable Deep Neural Networks


ManipulaTHOR: A Framework for Visual Object Manipulation


Manipulable outcomes within the class of scoring voting rules


Manipulating Google Scholar Citations and Google Scholar Metrics: simple, easy and tempting


Manipulating SGD with Data Ordering Attacks


Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection


Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data


Map Projections Minimizing Distance Errors


Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data


MapperGPT: Large Language Models for Linking and Mapping Entities


Mapping 1,000+ Language Models via the Log-Likelihood Vector


Mapping Between fMRI Responses to Movies and their Natural Language Annotations


Mapping Moral Valence of Tweets Following the Killing of George Floyd


Mapping Natural Language Instructions to Mobile UI Action Sequences


Mapping State Space using Landmarks for Universal Goal Reaching


Mapping and Localization from Planar Markers


Mapping the South African health landscape in response to COVID-19


Maps of random walks on complex networks reveal community structure


Marciani Normal Form of context-free grammars


Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings


Marian: Cost-effective High-Quality Neural Machine Translation in C++


Market Self-Learning of Signals, Impact and Optimal Trading: Invisible Hand Inference with Free Energy


Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context


Mask Attention Networks: Rethinking and Strengthen Transformer


Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes


Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models


Mask-GVAE: Blind Denoising Graphs via Partition


Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data


Mask2Former for Video Instance Segmentation


MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects


MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning


MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation


Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning


Masked Proxy Loss For Text-Independent Speaker Verification


Masked-attention Mask Transformer for Universal Image Segmentation


Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data


Mass-Radius Relationships for Solid Exoplanets


Mass-loss implementation and temperature evolution of very massive stars


Massive Dead Galaxies at z~2 with HST Grism Spectroscopy I. Star Formation Histories and Metallicity Enrichment


Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance


Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond


Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions


Massively Scalable Inverse Reinforcement Learning in Google Maps


MatFormer: Nested Transformer for Elastic Inference


Match-Tensor: a Deep Relevance Model for Search


MatchingGAN: Matching-based Few-shot Image Generation


Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations


MathOptInterface: a data structure for mathematical optimization problems


MathPrompter: Mathematical Reasoning using Large Language Models


MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts


Matrix Completion Methods for the Total Electron Content Video Reconstruction


Matrix Factorizations for Complete Intersections and Minimal Free Resolutions


Matrix Fisher-Gaussian Distribution on $\mathrm{SO}(3)\times\mathbb{R}^n$ for Attitude Estimation with a Gyro Bias


Matrix Method for Persistence Modules on Commutative Ladders of Finite Type


Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW


Matrix product states and the nonabelian rotor model


Matrix-equation-based strategies for convection-diffusion equations


MatterGen: a generative model for inorganic materials design


Max-margin Class Imbalanced Learning with Gaussian Affinity


Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks


MaxUp: A Simple Way to Improve Generalization of Neural Network Training


Maximal product of primes whose sum is bounded


Maximising Manipulability During Resolved-Rate Motion Control


Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach


Maximizing Matching in Double-sided Auctions


Maximizing Social Welfare and Agreement via Information Design in Linear-Quadratic-Gaussian Games


Maximizing acquisition functions for Bayesian optimization


Maximum Entropy Deep Inverse Reinforcement Learning


Maximum Entropy Spectral Analysis: an application to gravitational waves data analysis


Maximum Inner-Product Search using Tree Data-structures


Maximum Likelihood Estimation of Stochastic Differential Equations with Random Effects Driven by Fractional Brownian Motion


Maximum Mutation Reinforcement Learning for Scalable Control


Maximum Principle Based Algorithms for Deep Learning


Maximum Weight Online Matching with Deadlines


Maximum a Posteriori Policy Optimisation


Maximum and minimum entropy states yielding local continuity bounds


Maxwell's Theory of Solid Angle and the Construction of Knotted Fields


Maxwell's equations are universal for locally conserved quantities


MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy


Mean Field Limit of the Learning Dynamics of Multilayer Neural Networks


Mean Flows for One-step Generative Modeling


Mean Waiting Time in Large-Scale and Critically Loaded Power of d Load Balancing Systems


Mean field theory for deep dropout networks: digging up gradient backpropagation deeply


Mean squared error minimization for inverse moment problems


Measurement Optimization in the Variational Quantum Eigensolver Using a Minimum Clique Cover


Measurement of the CKM Matrix Element $|V_{cb}|$ from $B^{0} \to D^{*-} \ell^+ ν_\ell$ at Belle


Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State


Measurement-induced topological entanglement transitions in symmetric random quantum circuits


Measurements of Newton's gravitational constant and the length of day


Measurements of the Upsilon(1S), Upsilon(2S), and Upsilon(3S) differential cross sections in pp collisions at sqrt(s) = 7 TeV


Measuring Earth's Magnetic Field Using a Smartphone Magnetometer


Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data


Measuring Massive Multitask Language Understanding


Measuring Network Dynamics of Opioid Overdose Deaths in the United States


Measuring Neural Net Robustness with Constraints


Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions


Measuring and mitigating AS-level adversaries against Tor


Measuring the Earth's Synchrotron Emission from Radiation Belts with a Lunar Near Side Radio Array


Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification


Measuring the effect of node aggregation on community detection


Mechanical interplay between cell shape and actin cytoskeleton organization


Med-HALT: Medical Domain Hallucination Test for Large Language Models


Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models


MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging


MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis


MedSTS: A Resource for Clinical Semantic Textual Similarity


MediaPipe: A Framework for Building Perception Pipelines


Medical Image Retrieval using Deep Convolutional Neural Network


Medical image denoising using convolutional denoising autoencoders


MeetingBank: A Benchmark Dataset for Meeting Summarization


MegaDepth: Learning Single-View Depth Prediction from Internet Photos