mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 17 Jul 2024

287 papers

  1. Direct Unlearning Optimization for Robust and Safe Text-to-Image ModelsLLM safety and security → Vision-language and text-to-image safety
  2. Safeguard Text-to-Image Diffusion Models with Human Feedback InversionDiffusion models → Robustness, privacy and adversarial aspects +1
  3. Steamroller Problems: An Evaluation of LLM Reasoning Capability with Automated Theorem Prover StrategiesLLM reasoning → Reasoning benchmarks and evaluation
  4. Less is More: Sparse Watermarking in LLMs with Enhanced Text QualityLLM safety and security → Watermarking generated content and models
  5. Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic SystemsLLM agents and tool use → Web, search, and research agents
  6. Surgical Robot Transformer (SRT): Imitation Learning for Surgical TasksOffline RL and imitation learning from data → Safe offline RL
  7. Strategies for CT Reconstruction using Diffusion Posterior Sampling with a Nonlinear ModelDiffusion models → Medical imaging and segmentation
  8. Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyDiffusion models → Medical imaging and segmentation
  9. Robotic Arm Manipulation with Inverse Reinforcement Learning & TD-MPCOffline RL and imitation learning from data → Real-world robot offline RL +1
  10. DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent DiffusionDiffusion models → Image generation, text-to-image and editing
  11. Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  12. GeoGuide: Geometric guidance of diffusion modelsDiffusion models → Diffusion foundations and sampling
  13. Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language ModelsRetrieval-augmented generation → Medical and biomedical RAG
  14. AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge BasesLLM agents and tool use → Agent threats, guardrails and governance +1
  15. SMooDi: Stylized Motion Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  16. VD3D: Taming Large Video Diffusion Transformers for 3D Camera ControlDiffusion models → Video generation
  17. Hallucination Index: An Image Quality Metric for Generative Reconstruction ModelsDiffusion models → Medical imaging and segmentation
  18. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  19. EchoSight: Advancing Visual-Language Models with Wiki KnowledgeMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  20. A LLM Benchmark based on the Minecraft Builder Dialog Agent TaskLLM agents and tool use → Reinforcement learning for LLM agents
  21. RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  22. NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
  23. Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?LLM reasoning → Multimodal reasoning
  24. SlimFlow: Training Smaller One-Step Diffusion Models with Rectified FlowDiffusion models → Diffusion foundations and sampling
  25. MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  26. IMAGDressing-v1: Customizable Virtual DressingDiffusion models → 3D, point cloud and scene generation
  27. 4Dynamic: Text-to-4D Generation with Hybrid PriorsDiffusion models → 3D, point cloud and scene generation
  28. Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIsDiffusion models → Medical imaging and segmentation
  29. CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse ProblemsDiffusion models → Inverse problems and image restoration
  30. VegeDiff: Latent Diffusion Model for Geospatial Vegetation ForecastingDiffusion models → Flow matching, time series and science
  31. E5-V: Universal Embeddings with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  32. The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt InterpretationDiffusion models → Image generation, text-to-image and editing
  33. High Frequency Matters: Uncertainty Guided Image Compression with Wavelet DiffusionDiffusion models → Diffusion for compression and wireless
  34. Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
  35. Struct-X: Enhancing Large Language Models Reasoning with Structured DataLLM reasoning → Reasoning benchmarks and evaluation
  36. Subequivariant Reinforcement Learning in 3D Multi-Entity Physical EnvironmentsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  37. Case2Code: Scalable Synthetic Data for Code GenerationSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  38. Evaluating Linguistic Capabilities of Multimodal LLMs in the Lens of Few-Shot LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  39. Evaluating Search Engines and Large Language Models for Answering Health QuestionsRetrieval-augmented generation → Medical and biomedical RAG
  40. Estimating Reaction Barriers with Deep Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  41. Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  42. ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language InferenceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  43. Variable-Agnostic Causal Exploration for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  44. Analyzing the Generalization and Reliability of Steering VectorsMechanistic interpretability → Activation steering methods
  45. Mamba-PTQ: Outlier Channels in Recurrent Large Language ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  46. Reliable and Efficient Concept Erasure of Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  47. Flow Matching Imitation Learning for Multi-Support ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
  48. NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
  49. ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction DataMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  50. Multimodal LLM-based Query Paraphrasing for Video SearchMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  51. I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution MapsDiffusion models → Image generation, text-to-image and editing
  52. Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal ViewsDiffusion models → Medical imaging and segmentation
  53. Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  54. ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion MapMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  55. JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score DistillationDiffusion models → 3D, point cloud and scene generation
  56. Chip Placement with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  57. Turning Generative Models Degenerate: The Power of Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
  58. VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  59. Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion ProcessDiffusion models → Diffusion foundations and sampling
  60. Applying Conditional Generative Adversarial Networks for Imaging Diagnosis
  61. A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos
  62. Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm
  63. Machine Learning for Dynamic Management Zone in Smart Farming
  64. SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
  65. Whether to trust: the ML leap of faith
  66. Data-driven Verification of DNNs for Object Recognition
  67. Hands-on STEM Learning Experiences using Digital Technologies
  68. In-Depth Analysis of Emotion Recognition through Knowledge-Based Large Language Models
  69. Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage
  70. Watermarking Recommender Systems
  71. Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
  72. Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
  73. MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs
  74. Driving pattern interpretation based on action phases clustering
  75. SmartQuant: CXL-based AI Model Store in Support of Runtime Configurable Weight Quantization
  76. A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities
  77. Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments
  78. Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
  79. Establishing Knowledge Preference in Language Models
  80. A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
  81. DropKAN: Regularizing KANs by masking post-activations
  82. Turkish Delights: a Dataset on Turkish Euphemisms
  83. Universal Facial Encoding of Codec Avatars from VR Headsets
  84. ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
  85. Pre-Trained Foundation Model representations to uncover Breathing patterns in Speech
  86. SpaRED benchmark: Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion
  87. From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases
  88. A Three-Stage Algorithm for the Closest String Problem on Artificial and Real Gene Sequences
  89. Proof-of-Collaborative-Learning: A Multi-winner Federated Learning Consensus Algorithm
  90. High-Quality Tabular Data Generation using Post-Selected VAE
  91. A Resolution Independent Neural Operator
  92. Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models
  93. Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
  94. Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation
  95. Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
  96. A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
  97. Improving SAM Requires Rethinking its Optimization Formulation
  98. ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
  99. Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  100. A Framework for testing Federated Learning algorithms using an edge-like environment
All 287
  1. Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
  2. Temporal Label Hierachical Network for Compound Emotion Recognition
  3. R'enyi-infinity constrained sampling with d3 membership queries
  4. Learning Long-Horizon Predictions for Quadrotor Dynamics
  5. R+X: Retrieval and Execution from Everyday Human Videos
  6. AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
  7. Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
  8. Halu-J: Critique-Based Hallucination Judge
  9. KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation
  10. GenRC: Generative 3D Room Completion from Sparse Image Collections
  11. The 2024 Foundation Model Transparency Index
  12. Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild
  13. Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples
  14. A Survey on Universal Approximation Theorems
  15. Hybrid Dynamic Pruning: A Pathway to Efficient Transformer Inference
  16. Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers
  17. Contrastive Adversarial Training for Unsupervised Domain Adaptation
  18. Generalizable Human Gaussians for Sparse View Synthesis
  19. OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides
  20. The Role of Network and Identity in the Diffusion of Hashtags
  21. Jigsaw Game: Federated Clustering
  22. A survey and taxonomy of methods interpreting random forest models
  23. Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification
  24. LookupViT: Compressing visual information to a limited number of tokens
  25. Scalable Monte Carlo for Bayesian Learning
  26. ChipXplore: Natural Language Exploration of Hardware Designs and Libraries
  27. Comparing Federated Stochastic Gradient Descent and Federated Averaging for Predicting Hospital Length of Stay
  28. GroundUp: Rapid Sketch-Based 3D City Massing
  29. CHOSEN: Compilation to Hardware Optimization Stack for Efficient Vision Transformer Inference
  30. An Evaluation of Continual Learning for Advanced Node Semiconductor Defect Inspection
  31. A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
  32. TTSDS -- Text-to-Speech Distribution Score
  33. Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning
  34. TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds
  35. Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection
  36. In-Situ Infrared Camera Monitoring for Defect and Anomaly Detection in Laser Powder Bed Fusion: Calibration, Data Mapping, and Feature Extraction
  37. Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
  38. GraphMuse: A Library for Symbolic Music Graph Processing
  39. Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data
  40. SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization
  41. Beyond Next Token Prediction: Patch-Level Training for Large Language Models
  42. Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge
  43. InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction
  44. Fusion Flow-enhanced Graph Pooling Residual Networks for Unmanned Aerial Vehicles Surveillance in Day and Night Dual Visions
  45. Zero-shot Text-guided Infinite Image Synthesis with LLM guidance
  46. Profiling quantum circuits for their efficient execution on single- and multi-core architectures
  47. ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks
  48. Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
  49. CerberusDet: Unified Multi-Dataset Object Detection
  50. Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
  51. A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality
  52. Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
  53. Rethinking the Architecture Design for Efficient Generic Event Boundary Detection
  54. Harnessing the Power of Artificial Intelligence to Vitalize Endangered Indigenous Languages: Technologies and Experiences
  55. Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
  56. Strawberry detection and counting based on YOLOv7 pruning and information based tracking algorithm
  57. AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism
  58. Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation
  59. Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
  60. Continuous reasoning for adaptive container image distribution in the cloud-edge continuum
  61. On Diversity in Discriminative Neural Networks
  62. Estimate Epidemiological Parameters given Partial Observations based on Algebraically Observable PINNs
  63. Enhancing Wrist Fracture Detection with YOLO
  64. VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding
  65. EvSign: Sign Language Recognition and Translation with Streaming Events
  66. Privacy-Preserving Adaptive Re-Identification without Image Transfer
  67. Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks
  68. Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection
  69. Towards Understanding Unsafe Video Generation
  70. IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA
  71. DP-KAN: Differentially Private Kolmogorov-Arnold Networks
  72. LTRL: Boosting Long-tail Recognition via Reflective Learning
  73. End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence
  74. UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings
  75. Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships
  76. Navigating the Smog: A Cooperative Multi-Agent RL for Accurate Air Pollution Mapping through Data Assimilation
  77. Crafting the Path: Robust Query Rewriting for Information Retrieval
  78. On the Complexity of Identification in Linear Structural Causal Models
  79. Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition
  80. Evaluating the transferability potential of deep learning models for climate downscaling
  81. Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
  82. On Initializing Transformers with Pre-trained Embeddings
  83. textitGeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics
  84. Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations
  85. MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline
  86. Classification and reconstruction for single-pixel imaging with classical and quantum neural networks
  87. EmoFace: Audio-driven Emotional 3D Face Animation
  88. Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts
  89. Temporal Test-Time Adaptation with State-Space Models
  90. Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving
  91. Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation
  92. Towards AI-Powered Video Assistant Referee System (VARS) for Association Football
  93. Krutrim LLM: A Novel Tokenization Strategy for Multilingual Indic Languages with Petabyte-Scale Data Processing
  94. SENC: Handling Self-collision in Neural Cloth Simulation
  95. Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection
  96. A Novel Dependency Framework for Enhancing Discourse Data Analysis
  97. Characterization of Political Polarized Users Attacked by Language Toxicity on Twitter
  98. Continual Learning for Temporal-Sensitive Question Answering
  99. Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation
  100. Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok
  101. Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation
  102. Non-parametric regularization for class imbalance federated medical image classification
  103. A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence
  104. Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
  105. GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs
  106. Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review
  107. F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions
  108. GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval
  109. GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
  110. Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations
  111. Navigating the Noisy Crowd: Finding Key Information for Claim Verification
  112. StuGPTViz: A Visual Analytics Approach to Understand Student-ChatGPT Interactions
  113. SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids
  114. Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions
  115. Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions
  116. Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting
  117. Proximity-based Self-Federated Learning
  118. Towards Revisiting Visual Place Recognition for Joining Submaps in Multimap SLAM
  119. Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model Conversion
  120. TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish
  121. Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment
  122. A Practical Solver for Scalar Data Topological Simplification
  123. Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
  124. Efficient Depth-Guided Urban View Synthesis
  125. PersLLM: A Personified Training Approach for Large Language Models
  126. LLM Inference Serving: Survey of Recent Advances and Opportunities
  127. Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge
  128. Morphosyntactic Analysis for CHILDES
  129. HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
  130. StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
  131. Deep Learning-based Sentiment Analysis of Olympics Tweets
  132. FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification
  133. Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing
  134. HIMO: A New Benchmark for Full-Body Human Interacting with Multiple Objects
  135. Temporal receptive field in dynamic graph learning: A comprehensive analysis
  136. Conversational Query Reformulation with the Guidance of Retrieved Documents
  137. Evaluating graph-based explanations for AI-based recommender systems
  138. LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation
  139. Invertible Neural Warp for NeRF
  140. SENTAUR: Security EnhaNced Trojan Assessment Using LLMs Against Undesirable Revisions
  141. Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval
  142. VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions
  143. The Better Angels of Machine Personality: How Personality Relates to LLM Safety
  144. Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection
  145. Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection
  146. GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
  147. Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning
  148. M2DS: Multilingual Dataset for Multi-document Summarisation
  149. Why Do You Grok? A Theoretical Analysis of Grokking Modular Addition
  150. Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
  151. Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at Scale
  152. Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed Transformer
  153. Out of Length Text Recognition with Sub-String Matching
  154. Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
  155. MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models
  156. Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance
  157. Splatfacto-W: A Nerfstudio Implementation of Gaussian Splatting for Unconstrained Photo Collections
  158. Exploiting Inter-Image Similarity Prior for Low-Bitrate Remote Sensing Image Compression
  159. VEON: Vocabulary-Enhanced Occupancy Prediction
  160. Multi evolutional deep neural networks (Multi-EDNN)
  161. Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
  162. Information-Theoretic Foundations for Machine Learning
  163. CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering
  164. ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning
  165. Multimodal Reranking for Knowledge-Intensive Visual Question Answering
  166. When can transformers compositionally generalize in-context?
  167. MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics
  168. GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity
  169. RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection
  170. UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
  171. Generating 3D House Wireframes with Semantics
  172. On the Feasibility of In-Context Probing for Data Attribution
  173. Facial Affect Recognition based on Multi Architecture Encoder and Feature Fusion for the ABAW7 Challenge
  174. Compound Expression Recognition via Multi Model Ensemble for the ABAW7 Challenge
  175. Enhancing Polygonal Building Segmentation via Oriented Corners
  176. Dual-Hybrid Attention Network for Specular Highlight Removal
  177. COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data
  178. Lacuna Language Learning: Leveraging RNNs for Ranked Text Completion in Digitized Coptic Manuscripts
  179. Explaining Deep Neural Networks by Leveraging Intrinsic Methods
  180. Adaptive Cascading Network for Continual Test-Time Adaptation
  181. Motion and Structure from Event-based Normal Flow
  182. Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework
  183. Base Models for Parabolic Partial Differential Equations
  184. Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-Speech
  185. Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation
  186. Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation
  187. Questionable practices in machine learning