mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 27 May 2024

413 papers

  1. CHAMP: Conformalized 3D Human Multi-Hypothesis Pose EstimatorsDiffusion models → 3D, point cloud and scene generation
  2. Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RLDeep reinforcement learning methods → Deep RL algorithms and representations
  3. Reinforcement Learning Based Escape Route Generation in Low Visibility EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
  4. Cross-Modal Safety Alignment: Is textual unlearning all you need?Multimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
  5. Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question AnsweringLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  6. EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
  7. Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy ApproachLLM safety and security → Federated unlearning and poisoning
  8. Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making SystemsLLM reasoning → Reasoning for agents, planning and code +2
  9. Linear Function Approximation as a Computationally Efficient Method to Solve Classical Reinforcement Learning ChallengesDeep reinforcement learning methods → RL theory and sample complexity
  10. Video Enriched Retrieval Augmented Generation Using Aligned Video CaptionsRetrieval-augmented generation → Multimodal RAG
  11. Mechanistic Interpretability of Binary and Ternary TransformersMechanistic interpretability → Circuits and mechanistic analysis
  12. Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in SportsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  13. Fast Samplers for Inverse Problems in Iterative Refinement ModelsDiffusion models → Inverse problems and image restoration
  14. RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature GuidanceDiffusion models → Video generation
  15. LoReTrack: Efficient and Accurate Low-Resolution Transformer TrackingKnowledge distillation → General knowledge distillation methods
  16. Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked MambaState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  17. Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion ModelsDiffusion models → Flow matching, time series and science
  18. The surprising efficiency of temporal difference learning for rare event predictionDeep reinforcement learning methods → RL theory and sample complexity
  19. BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation ExperimentsLLM reasoning → Clinical and biomedical applications +1
  20. Tensor Low-rank Approximation of Finite-horizon Value FunctionsDeep reinforcement learning methods → RL theory and sample complexity
  21. Matrix Low-Rank Approximation For Policy Gradient MethodsDeep reinforcement learning methods → RL theory and sample complexity
  22. Matrix Low-Rank Trust Region Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  23. Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model ScalesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  24. Augmenting Textual Generation via Topology Aware RetrievalRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  25. RAGSys: Item-Cold-Start Recommender as RAG SystemRetrieval-augmented generation → RAG for recommendation
  26. ClassDiffusion: More Aligned Personalization Tuning with Explicit Class GuidanceDiffusion models → Image generation, text-to-image and editing
  27. Matryoshka Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  28. Reason3D: Searching and Reasoning 3D Segmentation via Large Language ModelLLM reasoning → Spatial and embodied reasoning +1
  29. From Neurons to Neutrons: A Case Study in InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
  30. Privacy-Aware Visual Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  31. A Self-Correcting Vision-Language-Action Model for Fast and Slow System ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  32. A Recipe for Unbounded Data Augmentation in Visual Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  33. Collaborative Video Diffusion: Consistent Multi-video Generation with Camera ControlDiffusion models → Video generation
  34. Human4DiT: 360-degree Human Video Generation with 4D Diffusion TransformerDiffusion models → Video generation
  35. A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model TrainingDiffusion models → Diffusion foundations and sampling
  36. THREAD: Thinking Deeper with Recursive SpawningLLM reasoning → Test-time compute and efficient thinking
  37. RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal ControlDiffusion models → Image generation, text-to-image and editing
  38. Vista: A Generalizable Driving World Model with High Fidelity and Versatile ControllabilityWorld models → World models for autonomous driving +1
  39. EASI-Tex: Edge-Aware Mesh Texturing from Single ImageDiffusion models → 3D, point cloud and scene generation
  40. MindMerger: Efficient Boosting LLM Reasoning in non-English LanguagesLLM reasoning → Reasoning benchmarks and evaluation
  41. ReMoDetect: Reward Models Recognize Aligned LLM's GenerationsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  42. Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous ClientsEfficient LLM inference and serving → Early exit and edge inference
  43. Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  44. Rethinking Transformers in Solving POMDPsDeep reinforcement learning methods → Deep RL algorithms and representations
  45. Prompt Optimization with Human FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  46. Controllable Longer Image Animation with Diffusion ModelsDiffusion models → Video generation
  47. Opinion-Guided Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  48. FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit DistillationKnowledge distillation → Federated, robust and private distillation
  49. An Introduction to Vision-Language ModelingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  50. Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  51. Learning Generic and Dynamic Locomotion of Humanoids Across Discrete TerrainsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  52. RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V TrustworthinessLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  53. Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic ViewLLM reasoning → Multimodal reasoning +1
  54. DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  55. Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT ReconstructionDiffusion models → Medical imaging and segmentation
  56. PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  57. LCM: Locally Constrained Compact Point Cloud Model for Masked Point ModelingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  58. TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion DetectionLLM reasoning → Audio-language model reasoning
  59. Q-value Regularized Transformer for Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  60. Inverse reinforcement learning by expert imitation for the stochastic linear-quadratic optimal control problemDeep reinforcement learning methods → RL for robot locomotion and manipulation
  61. Ensembling Diffusion Models via Adaptive Feature AggregationDiffusion models → Diffusion foundations and sampling
  62. The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  63. UniICL: An Efficient Unified Framework Unifying Compression, Selection, and GenerationLLM reasoning → Test-time compute and efficient thinking
  64. Provably Efficient Reinforcement Learning with Multinomial Logit Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
  65. ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code GenerationLLM reasoning → Reasoning for agents, planning and code
  66. BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language GenerationWorld models → World models for language agents
  67. Glauber Generative Model: Discrete Diffusion Models via Binary ClassificationDiffusion models → Discrete and text diffusion
  68. Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  69. Multi-view Disparity Estimation Using a Novel Gradient Consistency ModelDiffusion models → 3D, point cloud and scene generation
  70. Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
  71. Di2Pose: Discrete Diffusion Model for Occluded 3D Human Pose EstimationDiffusion models → 3D, point cloud and scene generation
  72. Motion-Agent: A Conversational Framework for Human Motion Generation with LLMsLLM agents and tool use → Multimodal and embodied agents
  73. Position: Foundation Agents as the Paradigm Shift for Decision MakingLLM agents and tool use → General LLM agent frameworks and benchmarks
  74. OSLO: One-Shot Label-Only Membership Inference AttacksLLM safety and security → Membership inference attacks
  75. Exploring the LLM Journey from Cognition to Expression with Linear RepresentationsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  76. A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and RecognitionDiffusion models → Audio, speech and music
  77. Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion ModelsDiffusion models → Medical imaging and segmentation
  78. Biological Neurons Compete with Deep Reinforcement Learning in Sample Efficiency in a Simulated GameworldDeep reinforcement learning methods → Deep RL algorithms and representations
  79. PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion ModelsDiffusion models → Medical imaging and segmentation
  80. Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCRLLM reasoning → Multimodal reasoning
  81. Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  82. VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  83. GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  84. Partial Models for Building Adaptive Model-Based Reinforcement Learning AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
  85. Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image GenerationDiffusion models → Robustness, privacy and adversarial aspects
  86. Part123: Part-aware 3D Reconstruction from a Single-view ImageDiffusion models → 3D, point cloud and scene generation
  87. A Large Language Model-based multi-agent manufacturing system for intelligent shopfloorLLM agents and tool use → General LLM agent frameworks and benchmarks
  88. Transfer Learning for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  89. CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the WildDiffusion models → Audio, speech and music
  90. BInD: Bond and Interaction-generating Diffusion Model for Multi-objective Structure-based Drug DesignDiffusion models → Flow matching, time series and science
  91. Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language TasksLLM reasoning → Multimodal reasoning +1
  92. Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
  93. EM Distillation for One-step Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  94. UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  95. Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf NodeMixture-of-experts → Expert routing strategies
  96. Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity SimulationDeep reinforcement learning methods → RL for robot navigation and UAV control
  97. Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural SimulationsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  98. Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear qπ-Realizability and ConcentrabilityOffline RL and imitation learning from data → Offline RL algorithms
  99. TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity EditingMultimodal LLMs / vision-language models → Image editing and quality assessment +1
  100. AutoPSV: Automated Process-Supervised VerifierLLM reasoning → Reasoning benchmarks and evaluation
All 413
  1. Exploring Fairness in Educational Data Mining in the Context of the Right to be ForgottenLLM safety and security → Machine unlearning
  2. PromptFix: You Prompt and We Fix the PhotoDiffusion models → Image generation, text-to-image and editing
  3. TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation ModelsLLM safety and security → Backdoor and data poisoning attacks
  4. Concept Matching with Agent for Out-of-Distribution DetectionLLM agents and tool use → General LLM agent frameworks and benchmarks
  5. Greedy Growing Enables High-Resolution Pixel-Based Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  6. REVECA: Adaptive Planning and Trajectory-based Validation in Cooperative Language Agents using Information Relevance and Relative ProximityLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion ModelsDiffusion models → Inverse problems and image restoration
  8. Oracle-Efficient Reinforcement Learning for Max Value EnsemblesDeep reinforcement learning methods → RL theory and sample complexity
  9. "It depends": Configuring AI to Improve Clinical Usefulness Across Contexts
  10. A Multi-resolution Low-rank Tensor Decomposition
  11. Revision Matters: Generative Design Guided by Revision Edits
  12. BAISeg: Boundary Assisted Weakly Supervised Instance Segmentation
  13. Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors
  14. Renal digital pathology visual knowledge search platform based on language large model and book knowledge
  15. CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System
  16. A GRASP-based memetic algorithm with path relinking for the far from most string problem
  17. Detecting Deceptive Dark Patterns in E-commerce Platforms
  18. Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
  19. QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM
  20. Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK
  21. How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
  22. ViSpeR: Multilingual Audio-Visual Speech Recognition
  23. Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition
  24. OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
  25. DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
  26. Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation
  27. Learning Social Welfare Functions
  28. BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
  29. P4: Towards private, personalized, and Peer-to-Peer learning
  30. Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks
  31. Tamed Langevin sampling under weaker conditions
  32. Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments
  33. Towards Causal Physical Error Discovery in Video Analytics Systems
  34. TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
  35. Understanding differences in applying DETR to natural and medical images
  36. Utilising a Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems
  37. Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise
  38. Hunting for Polluted White Dwarfs and Other Treasures with Gaia XP Spectra and Unsupervised Machine Learning
  39. Structured Partial Stochasticity in Bayesian Neural Networks
  40. Finding Shared Decodable Concepts and their Negations in the Brain
  41. Generative Query Reformulation Using Ensemble Prompting, Document Fusion, and Relevance Feedback
  42. InversionView: A General-Purpose Method for Reading Information from Neural Activations
  43. Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
  44. Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
  45. The Economic Implications of Large Language Model Selection on Earnings and Return on Investment: A Decision Theoretic Model
  46. HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs
  47. Salutary Labeling with Zero Human Annotation
  48. Listenable Maps for Zero-Shot Audio Classifiers
  49. Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
  50. A note on the error analysis of data-driven closure models for large eddy simulations of turbulence
  51. Explainable machine learning multi-label classification of Spanish legal judgements
  52. GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns
  53. Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations
  54. LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
  55. GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane
  56. Understanding Forgetting in Continual Learning with Linear Regression
  57. Building a temperature forecasting model for the city with the regression neural network (RNN)
  58. Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
  59. Container pre-marshalling problem minimizing CV@R under uncertainty of ship arrival times
  60. Interpretable Prognostics with Concept Bottleneck Models
  61. Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets
  62. Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese
  63. ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers
  64. A deep-learning algorithm to disentangle self-interacting dark matter and AGN feedback models
  65. Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
  66. Towards Human-AI Complementarity with Prediction Sets
  67. Approximately-symmetric neural networks for quantum spin liquids
  68. Bayesian RG Flow in Neural Network Field Theories
  69. CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
  70. Calibrated Dataset Condensation for Faster Hyperparameter Search
  71. SMR: State Memory Replay for Long Sequence Modeling
  72. PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends
  73. Evolutive Rendering Models
  74. Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails
  75. Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
  76. SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
  77. Locally Testing Model Detections for Semantic Global Concepts
  78. Efficient Model Compression for Hierarchical Federated Learning
  79. Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
  80. Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
  81. WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
  82. Time Elastic Neural Networks
  83. AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning
  84. On Fairness of Low-Rank Adaptation of Large Models
  85. Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
  86. GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
  87. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
  88. Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
  89. LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
  90. Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection
  91. MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds
  92. Survival of the Fittest Representation: A Case Study with Modular Addition
  93. MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
  94. Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization
  95. Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE
  96. Deep Learning Calabi-Yau four folds with hybrid and recurrent neural network architectures
  97. Spectral Greedy Coresets for Graph Neural Networks
  98. Transformers Can Do Arithmetic with the Right Embeddings
  99. Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding
  100. CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations
  101. The Expressive Capacity of State Space Models: A Formal Language Perspective
  102. Dataset-learning duality and emergent criticality
  103. KSW: Khmer Stop Word based Dictionary for Keyword Extraction
  104. Unlocking the Secrets of Linear Complexity Sequence Model from A Unified Perspective
  105. Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
  106. RTL-Repo: A Benchmark for Evaluating LLMs on Large-Scale RTL Design Projects
  107. How Do the Architecture and Optimizer Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks
  108. BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
  109. Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators
  110. Predict joint angle of body parts based on sequence pattern recognition
  111. Fusing uncalibrated IMUs and handheld smartphone video to reconstruct knee kinematics
  112. EM-GANSim: Real-time and Accurate EM Simulation Using Conditional GANs for 3D Indoor Scenes
  113. A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an Application to Certified Robustness
  114. DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
  115. Assessing the significance of longitudinal data in Alzheimer's Disease forecasting
  116. DOF-GS:Adjustable Depth-of-Field 3D Gaussian Splatting for Post-Capture Refocusing, Defocus Rendering and Blur Removal
  117. Exploring and steering the moral compass of Large Language Models
  118. Physics-Informed Real NVP for Satellite Power System Fault Detection
  119. Cost-efficient Knowledge-based Question Answering with Large Language Models
  120. XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser
  121. Generating Accurate Synthetic Survival Data by Conditioning on Outcomes
  122. Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering
  123. Leveraging Offline Data in Linear Latent Contextual Bandits
  124. Tracking Small Birds by Detection Candidate Region Filtering and Detection History-aware Association
  125. All-day Depth Completion
  126. Probabilistic Graph Rewiring via Virtual Nodes
  127. Survey of Graph Neural Network for Internet of Things and NextG Networks
  128. Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
  129. Efficient Ensembles Improve Training Data Attribution
  130. An NLP Crosswalk Between the Common Core State Standards and NAEP Item Specifications
  131. Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
  132. R-ODE: Ricci Curvature Tells When You Will be Informed
  133. A Library for Automatic Natural Language Generation of Spanish Texts
  134. Socially-Aware Shared Control Navigation for Assistive Mobile Robots in the Built Environment
  135. EF-Calib: Spatiotemporal Calibration of Event- and Frame-Based Cameras Using Continuous-Time Trajectories
  136. Gradients of Functions of Large Matrices
  137. DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
  138. On the Noise Robustness of In-Context Learning for Text Generation
  139. Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction
  140. Does Diffusion Beat GAN in Image Super Resolution?
  141. Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
  142. textitTrans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
  143. Topological reconstruction of sampled surfaces via Morse theory
  144. Gaussian Embedding of Temporal Networks
  145. GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
  146. Assessing LLMs Suitability for Knowledge Graph Completion
  147. On Understanding Attention-Based In-Context Learning for Categorical Data
  148. Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
  149. NeurTV: Total Variation on the Neural Domain
  150. Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
  151. Benchmarking General-Purpose In-Context Learning
  152. CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs
  153. A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning
  154. Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools
  155. Autoformalizing Euclidean Geometry
  156. Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
  157. Efficient multi-prompt evaluation of LLMs
  158. Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space
  159. MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
  160. The SkatingVerse Workshop & Challenge: Methods and Results
  161. Memorize What Matters: Emergent Scene Decomposition from Multitraverse
  162. Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms
  163. Spectral regularization for adversarially-robust representation learning
  164. Forecasting Four Business Cycle Phases Using Machine Learning: A Case Study of US and EuroZone
  165. WeiPer: OOD Detection using Weight Perturbations of Class Projections
  166. Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
  167. Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP
  168. The Scaling Law in Stellar Light Curves
  169. CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control
  170. Smoke and Mirrors in Causal Downstream Tasks
  171. Compressed-Language Models for Understanding Compressed File Formats: a JPEG Exploration
  172. MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction
  173. SDL-MVS: View Space and Depth Deformable Learning Paradigm for Multi-View Stereo Reconstruction in Remote Sensing
  174. Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
  175. Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement
  176. PanoTree: Autonomous Photo-Spot Explorer in Virtual Reality Scenes
  177. Your decision path does matter in pre-training industrial recommenders with multi-source behaviors
  178. Explaining the role of Intrinsic Dimensionality in Adversarial Training
  179. Dual VC Dimension Obstructs Sample Compression by Embeddings
  180. Mixtures of Unsupervised Lexicon Classification
  181. Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
  182. Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification
  183. Finding good policies in average-reward Markov Decision Processes without prior knowledge
  184. LLM-Optic: Unveiling the Capabilities of Large Language Models for Universal Visual Grounding
  185. Empowering Character-level Text Infilling by Eliminating Sub-Tokens
  186. DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge
  187. A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
  188. Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
  189. Phase Transitions in the Output Distribution of Large Language Models
  190. F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting
  191. Effective Layer Pruning Through Similarity Metric Perspective
  192. Learning with User-Level Local Differential Privacy
  193. Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance
  194. Interaction-Force Transport Gradient Flows
  195. Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method
  196. A novel framework for systematic propositional formula simplification based on existential graphs
  197. Efficient mid-term forecasting of hourly electricity load using generalized additive models
  198. Training-free Editioning of Text-to-Image Models
  199. Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization
  200. Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
  201. Graph Neural Networks on Quantum Computers
  202. Comparative Study of Machine Learning Algorithms in Detecting Cardiovascular Diseases
  203. Improving Data-aware and Parameter-aware Robustness for Continual Learning
  204. WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
  205. SelfCP: Compressing Over-Limit Prompt via the Frozen Large Language Model Itself
  206. BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics
  207. HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
  208. Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
  209. Interpretable Robotic Manipulation from Language
  210. Generating Interesting Scientific Ideas using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
  211. LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
  212. Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction
  213. BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network
  214. FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
  215. SCaRL- A Synthetic Multi-Modal Dataset for Autonomous Driving
  216. Supervised Batch Normalization
  217. SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs
  218. Compositional Few-Shot Class-Incremental Learning
  219. Efficient Visual Fault Detection for Freight Train via Neural Architecture Search with Data Volume Robustness
  220. Graph Condensation for Open-World Graph Learning
  221. UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models
  222. Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
  223. Vision-and-Language Navigation Generative Pretrained Transformer
  224. DSU-Net: Dynamic Snake U-Net for 2-D Seismic First Break Picking
  225. Collective Perception Datasets for Autonomous Driving: A Comprehensive Review
  226. A Unified Framework for Tabular Generative Modeling: Loss Functions, Benchmarks, and Improved Multi-objective Bayesian Optimization Approaches
  227. The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control
  228. Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data
  229. Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis
  230. DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation
  231. A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features
  232. Large Deviations of Gaussian Neural Networks with ReLU activation
  233. Functional Programming Paradigm of Python for Scientific Computation Pipeline Integration
  234. Convergence of SGD with momentum in the nonconvex case: A time window-based analysis
  235. Evaluation of Resource-Efficient Crater Detectors on Embedded Systems
  236. Fast ML-driven Analog Circuit Layout using Reinforcement Learning and Steiner Trees
  237. Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
  238. CudaSIFT-SLAM: multiple-map visual SLAM for full procedure mapping in real human endoscopy
  239. From Obstacles to Resources: Semi-supervised Learning Faces Synthetic Data Contamination
  240. Uncertainty Management in the Construction of Knowledge Graphs: a Survey
  241. OED: Towards One-stage End-to-End Dynamic Scene Graph Generation
  242. Demystifying amortized causal discovery with transformers
  243. SA-GS: Semantic-Aware Gaussian Splatting for Large Scene Reconstruction with Geometry Constrain
  244. Theories of synaptic memory consolidation and intelligent plasticity for continual learning
  245. The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
  246. Multilingual Diversity Improves Vision-Language Representations
  247. A Cross-Dataset Study for Text-based 3D Human Motion Retrieval
  248. Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
  249. Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
  250. Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion
  251. Recurrent and Convolutional Neural Networks in Classification of EEG Signal for Guided Imagery and Mental Workload Detection
  252. PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance
  253. Hawk: Learning to Understand Open-World Video Anomalies
  254. Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching
  255. Scorch: A Library for Sparse Deep Learning
  256. Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
  257. Are Self-Attentions Effective for Time Series Forecasting?
  258. ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection
  259. Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
  260. RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
  261. Clustering-based Learning for UAV Tracking and Pose Estimation
  262. On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
  263. Estimating Depth of Monocular Panoramic Image with Teacher-Student Model Fusing Equirectangular and Spherical Representations
  264. Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer
  265. Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
  266. Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D Generation
  267. A re-calibration method for object detection with multi-modal alignment bias in autonomous driving
  268. TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
  269. On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
  270. Non-stochastic Bandits With Evolving Observations
  271. Enhancing Accuracy in Generative Models via Knowledge Transfer
  272. Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
  273. PyGS: Large-scale Scene Representation with Pyramidal 3D Gaussian Splatting
  274. Kernel-based Optimally Weighted Conformal Time-Series Prediction
  275. Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection
  276. Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels
  277. Perturbation-Restrained Sequential Model Editing
  278. Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings
  279. Automatic Domain Adaptation by Transformers in In-Context Learning
  280. Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model
  281. Image-level Regression for Uncertainty-aware Retinal Image Segmentation
  282. SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
  283. Performance evaluation of Reddit Comments using Machine Learning and Natural Language Processing methods in Sentiment Analysis
  284. Extreme Compression of Adaptive Neural Images
  285. Entity Alignment with Noisy Annotations from Large Language Models
  286. Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
  287. TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
  288. Dual-State Personalized Knowledge Tracing with Emotional Incorporation
  289. A Real-Time Voice Activity Detection Based On Lightweight Neural
  290. DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
  291. Laurel: Unblocking Automated Verification with Large Language Models
  292. SCSim: A Realistic Spike Cameras Simulator
  293. 3D Reconstruction with Fast Dipole Sums
  294. Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias
  295. ARC: A Generalist Graph Anomaly Detector with In-Context Learning
  296. Physics informed cell representations for variational formulation of multiscale problems
  297. Study of Robust Direction Finding Based on Joint Sparse Representation
  298. Transport of Algebraic Structure to Latent Embeddings
  299. Addressing Discretization-Induced Bias in Demographic Prediction
  300. Masked Face Recognition with Generative-to-Discriminative Representations
  301. Symmetry-Informed Governing Equation Discovery
  302. CHESS: Contextual Harnessing for Efficient SQL Synthesis
  303. Model Ensembling for Constrained Optimization
  304. Hypergraph Laplacian Eigenmaps and Face Recognition Problems
  305. Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
  306. PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
  307. CARL: A Framework for Equivariant Image Registration
  308. A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
  309. Faster Sampling via Stochastic Gradient Proximal Sampler
  310. The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
  311. Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
  312. "Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood
  313. Free-Space Optical Channel Turbulence Prediction: A Machine Learning Approach