mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 31 Oct 2024

385 papers

  1. Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science ResearchLLM reasoning → Reasoning benchmarks and evaluation
  2. Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  3. IO Transformer: Evaluating SwinV2-Based Reward Models for Computer VisionLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  4. Understanding the Limits of Vision Language Models Through the Lens of the Binding ProblemMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  5. SambaMixer: State of Health Prediction of Li-ion Batteries using Mamba State Space ModelsState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  6. Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardwareDeep reinforcement learning methods → Quantum reinforcement learning
  7. Fashion-VDM: Video Diffusion Model for Virtual Try-OnDiffusion models → 3D, point cloud and scene generation
  8. Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image ClassificationKnowledge distillation → Detection and dense prediction distillation
  9. Compositional Automata Embeddings for Goal-Conditioned Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
  10. RESTOR: Knowledge Recovery in Machine UnlearningLLM safety and security → Machine unlearning
  11. Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and AnalysisLLM agents and tool use → Multimodal and embodied agents
  12. Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary LearningMechanistic interpretability → Interpreting biomedical and science models
  13. EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  14. Scaling Up Membership Inference: When and How Attacks Succeed on Large Language ModelsLLM safety and security → Membership inference attacks
  15. NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMsState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  16. JudgeRank: Leveraging Large Language Models for Reasoning-Intensive RerankingLLM reasoning → Knowledge- and tool-augmented reasoning +1
  17. Project Sid: Many-agent simulations toward AI civilizationWorld models → World models for language agents
  18. PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent TasksLLM reasoning → Spatial and embodied reasoning +1
  19. Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-PlayLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  20. EgoMimic: Scaling Imitation Learning via Egocentric VideoOffline RL and imitation learning from data → Robot manipulation imitation learning
  21. Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language UseDeep reinforcement learning methods → RL training of language and agent models
  22. DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware DiffusionDiffusion models → 3D, point cloud and scene generation
  23. DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  24. Group Crosscoders for Mechanistic Analysis of SymmetryMechanistic interpretability → Sparse autoencoder training and evaluation
  25. π0: A Vision-Language-Action Flow Model for General Robot ControlVision-language-action models → Generalist VLA models and benchmarks
  26. Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative GenerationDiffusion models → Image generation, text-to-image and editing
  27. Blind Spot Navigation in Large Language Model Reasoning with Thought Space ExplorerLLM reasoning → Reasoning benchmarks and evaluation
  28. Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving +1
  29. Scaling Concept With Text-Guided Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  30. Exploring Vision Language Models for Facial Attribute Recognition: Emotion, Race, Gender, and AgeMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  31. Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence AnalysisDeep reinforcement learning methods → RL theory and sample complexity
  32. Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision TransformersOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  33. Matchmaker: Self-Improving Large Language Model Programs for Schema MatchingSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  34. Progressive Safeguards for Safe and Model-Agnostic Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  35. Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPsDeep reinforcement learning methods → RL theory and sample complexity
  36. Dynamical similarity analysis can identify compositional dynamics developing in RNNsMechanistic interpretability → Circuits and mechanistic analysis
  37. Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian StructureDiffusion models → Diffusion foundations and sampling
  38. Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMsLLM safety and security → Safety alignment, refusal and guardrails
  39. TPC: Test-time Procrustes Calibration for Diffusion-based Human Image AnimationDiffusion models → Video generation
  40. A context-adaptive policy framework for robust and reactive robotic manipulation via uncertainty-aware imitation learningOffline RL and imitation learning from data → Robot learning from demonstration
  41. AndroidLab: Training and Systematic Benchmarking of Android Autonomous AgentsLLM agents and tool use → GUI and mobile agents
  42. DiffPAD: Denoising Diffusion-based Adversarial Patch DecontaminationDiffusion models → Robustness, privacy and adversarial aspects
  43. Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion ModelsDiffusion models → Flow matching, time series and science
  44. Image Synthesis with Class-Aware Semantic Diffusion Models for Surgical Scene SegmentationDiffusion models → Medical imaging and segmentation
  45. Representative Social Choice: From Learning Theory to AI AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  46. RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught ReasonerLLM reasoning → Reinforcement learning for reasoning +1
  47. Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  48. Responsible Retrieval Augmented Generation for Climate Decision Making from DocumentsRetrieval-augmented generation → Agentic RAG, agents and memory
  49. DiffBatt: A Diffusion Model for Battery Degradation Prediction and SynthesisDiffusion models → Diffusion foundations and sampling
  50. Failure Modes of LLMs for Causal Reasoning on NarrativesLLM reasoning → Causal reasoning in LLMs
  51. Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
  52. Noise as a Double-Edged Sword: Reinforcement Learning Exploits Randomized Defenses in Neural NetworksDeep reinforcement learning methods → Adversarial robustness and RL in finance
  53. Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  54. Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?LLM reasoning → Prompting and chain-of-thought reasoning
  55. RAGraph: A General Retrieval-Augmented Graph Learning FrameworkRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  56. Reasons and Solutions for the Decline in Model Performance after EditingLLM reasoning → Knowledge- and tool-augmented reasoning
  57. Deterministic Exploration via Stationary Bellman Error MaximizationDeep reinforcement learning methods → Deep RL algorithms and representations
  58. Stereo-Talker: Audio-driven 3D Human Synthesis with Prior-Guided Mixture-of-ExpertsMixture-of-experts → MoE in reinforcement learning and robotics
  59. Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative ModelsDiffusion models → Medical imaging and segmentation
  60. Denoising Diffusion Models for Anomaly Localization in Medical ImagesDiffusion models → Medical imaging and segmentation
  61. Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual GroundingMultimodal LLMs / vision-language models → Medical vision-language models
  62. Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  63. UpANNS: Enhancing Billion-Scale ANNS Efficiency with Real-World PIM ArchitectureRetrieval-augmented generation → Vector search and ANN indexes
  64. SOAR: Self-Occluded Avatar Recovery from a Single Video In the WildDiffusion models → 3D, point cloud and scene generation
  65. EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like SketchingDiffusion models → Diffusion foundations and sampling
  66. Video Token Merging for Long-form Video UnderstandingEfficient LLM inference and serving → Visual token pruning in multimodal models
  67. Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD MapEnd-to-end autonomous driving → End-to-end system architecture
  68. In-Context LoRA for Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
  69. Enhancing Chess Reinforcement Learning with Graph RepresentationDeep reinforcement learning methods → RL for games and combinatorial optimization
  70. What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient PerspectiveLLM reasoning → Test-time compute and efficient thinking
  71. MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  72. A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  73. Modality and Task Adaptation for Enhanced Zero-shot Composed Image RetrievalMixture-of-experts → Multimodal MoE models
  74. Towards Reliable Alignment: Uncertainty-aware RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  75. OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  76. Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  77. Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path PerturbationLLM safety and security → Machine unlearning
  78. Adversarial Attacks of Vision Tasks in the Past 10 Years: A SurveyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  79. Rethinking Inverse Reinforcement Learning: from Data Alignment to Task AlignmentOffline RL and imitation learning from data → Inverse reinforcement learning
  80. Web-Scale Visual Entity Recognition: An LLM-Driven Data ApproachMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  81. On Learning Multi-Modal Forgery Representation for Diffusion Generated Video DetectionDiffusion models → Image generation, text-to-image and editing
  82. Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMsRetrieval-augmented generation → Generation and context integration
  83. How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?Diffusion models → Flow matching, time series and science
  84. Multi-Robot Pursuit in Parameterized Formation via Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  85. Dual Agent Learning Based Aerial Trajectory TrackingDeep reinforcement learning methods → RL for robot navigation and UAV control
  86. RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  87. Transferable & Stealthy Ensemble Attacks: A Black-Box Jailbreaking Framework for Large Language ModelsLLM safety and security → Jailbreaking
  88. From Context to Action: Analysis of the Impact of State Representation and Context on the Generalization of Multi-Turn Web Navigation AgentsLLM agents and tool use → Web, search, and research agents
  89. ALISE: Accelerating Large Language Model Serving with Speculative SchedulingEfficient LLM inference and serving → Serving systems and request scheduling
  90. Simulating User Agents for Embodied Conversational-AILLM agents and tool use → Multimodal and embodied agents
  91. There and Back Again: On the relation between Noise and Image Inversions in Diffusion ModelsDiffusion models → Inverse problems and image restoration
  92. Machine learning models for Si nanoparticle growth in nonthermal plasma
  93. AI-driven Automation as a Pre-condition for Eudaimonia
  94. COST CA20120 INTERACT Framework of Artificial Intelligence Based Channel Modeling
  95. Biotic Browser: Applying StreamingLLM as a Persistent Web Browsing Co-Pilot
  96. Towards Geometry-Preserving Reductions Between Constraint Satisfaction Problems (and other problems in NP)
  97. Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model
  98. Love in Action: Gamifying Public Video Cameras for Fostering Social Relationships in Real World
  99. Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals
  100. AI for Explosive Ordnance Detection in Clearance Operations: The State of Research
All 385
  1. Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination
  2. Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images
  3. IdeaBench: Benchmarking Large Language Models for Research Idea Generation
  4. Blind Time-of-Flight Imaging: Sparse Deconvolution on the Continuum with Unknown Kernels
  5. Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
  6. MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees
  7. Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders
  8. Measuring Responsibility in Multi-Agent Systems
  9. Revolutionizing Personalized Cancer Vaccines with NEO: Novel Epitope Optimization Using an Aggregated Feed Forward and Recurrent Neural Network with LSTM Architecture
  10. Technical Report for ActivityNet Challenge 2022 -- Temporal Action Localization
  11. Technical Report for Soccernet 2023 -- Dense Video Captioning
  12. Technical Report for SoccerNet Challenge 2022 -- Replay Grounding Task
  13. DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room
  14. Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models
  15. Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams
  16. Enhancing Brain Tumor Classification Using TrAdaBoost and Multi-Classifier Deep Learning Approaches
  17. VecCity: A Taxonomy-guided Library for Map Entity Representation Learning
  18. CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
  19. LLaMo: Large Language Model-based Molecular Graph Assistant
  20. K-Means Clustering With Incomplete Data with the Use of Mahalanobis Distances
  21. Clustering ensemble algorithm with high-order consistency learning
  22. A Systematic Review of NeurIPS Dataset Management Practices
  23. Quantifying Calibration Error in Neural Networks Through Evidence-Based Theory
  24. TurtleBench: A Visual Programming Benchmark in Turtle Geometry
  25. Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations
  26. Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
  27. A Novel Breast Ultrasound Image Augmentation Method Using Advanced Neural Style Transfer: An Efficient and Explainable Approach
  28. A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making
  29. Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
  30. ResiDual Transformer Alignment with Spectral Decomposition
  31. Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes
  32. Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
  33. Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding
  34. BOMP: Bin-Optimized Motion Planning
  35. ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing
  36. Inclusive KL Gradient Flows: Otto-Wasserstein, Fisher-Rao-Gaussian, and Local-Estimator Dynamics
  37. Learning Mixtures of Unknown Causal Interventions
  38. Scale-Aware Recognition in Satellite Images under Resource Constraints
  39. Using Large Language Models for a standard assessment mapping for sustainable communities
  40. YOLO Evolution: A Comprehensive Benchmark and Architectural Review of YOLOv12, YOLO11, and Their Previous Versions
  41. MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets
  42. Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems
  43. Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis
  44. Machine Learning Framework for Audio-Based Content Evaluation using MFCC, Chroma, Spectral Contrast, and Temporal Feature Engineering
  45. Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving
  46. Monitoring fairness in machine learning models that predict patient mortality in the ICU
  47. Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
  48. APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
  49. What Makes An Expert? Reviewing How ML Researchers Define "Expert"
  50. Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy
  51. LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction
  52. Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
  53. SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey
  54. Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia
  55. Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking
  56. A Recipe for Geometry-Aware 3D Mesh Transformers
  57. PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
  58. Residual Deep Gaussian Processes on Manifolds
  59. Using Deep Neural Networks to Quantify Parking Dwell Time
  60. Unlocking the Potential of Global Human Expertise
  61. Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking
  62. Mutual Information Preserving Neural Network Pruning
  63. Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems
  64. Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
  65. Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions
  66. Learning local discrete features in explainable-by-design convolutional neural networks
  67. Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control
  68. Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration
  69. LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
  70. Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
  71. Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations
  72. Training and Evaluating Causal Forecasting Models for Time-Series
  73. I Can Hear You: Selective Robust Training for Deepfake Audio Detection
  74. Soft Condorcet Optimization for Ranking of General Agents
  75. A Geometric Framework for Understanding Memorization in Generative Models
  76. Derivative-Free Optimization via Finite Difference Approximation: An Experimental Study
  77. Lagrangian neural networks for nonholonomic mechanics
  78. Prospective Learning: Learning for a Dynamic Future
  79. First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling
  80. A Universal Quantum Computer From Relativistic Motion
  81. Label Noise: Ignorance Is Bliss
  82. Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment
  83. μP2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
  84. RPS: A Generic Reservoir Patterns Sampler
  85. RSL-SQL: Robust Schema Linking in Text-to-SQL Generation
  86. Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System
  87. Interpretable Next-token Prediction via the Generalized Induction Head
  88. The ISCSLP 2024 Conversational Voice Clone (CoVoC) Challenge: Tasks, Results and Findings
  89. URAvatar: Universal Relightable Gaussian Codec Avatars
  90. Robust Gaussian Processes via Relevance Pursuit
  91. Bridging Geometric States via Geometric Diffusion Bridge
  92. Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
  93. CaAdam: Improving Adam optimizer using connection aware methods
  94. ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
  95. Learning Video Representations without Natural Videos
  96. DELTA: Dense Efficient Long-range 3D Tracking for any video
  97. TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
  98. No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
  99. Understanding Optimization in Deep Learning with Central Flows
  100. Zonal RL-RRT: Integrated RL-RRT Path Planning with Collision Probability and Zone Connectivity
  101. GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering
  102. LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking
  103. Length-Induced Embedding Collapse in PLM-based Models
  104. Linguistically-Controlled Paraphrase Generation
  105. SelfCodeAlign: Self-Alignment for Code Generation
  106. Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters
  107. Chasing Better Deep Image Priors between Over- and Under-parameterization
  108. Extended Object Tracking and Classification based on Linear Splines
  109. Federated Black-Box Adaptation for Semantic Segmentation
  110. AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
  111. DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models
  112. Constraint Back-translation Improves Complex Instruction Following of Large Language Models
  113. Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservices
  114. The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
  115. Approaches to human activity recognition via passive radar
  116. Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators
  117. GPT or BERT: why not both?
  118. Dense Associative Memory Through the Lens of Random Features
  119. Projected random forests and conformal prediction of circular data
  120. HoloChrome: Polychromatic Illumination for Speckle Reduction in Holographic Near-Eye Displays
  121. Don't Touch My Diacritics
  122. COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes
  123. Multi-environment Topic Models
  124. Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing
  125. AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation
  126. AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
  127. Nearest Neighbor Normalization Improves Multimodal Retrieval
  128. On Sampling Strategies for Spectral Model Sharding
  129. Clustering to Minimize Cluster-Aware Norm Objectives
  130. Benchmark Data Repositories for Better Benchmarking
  131. Parameter choices in HaarPSI for IQA with medical images
  132. 3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
  133. Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
  134. In-Context Fine-Tuning for Time-Series Foundation Models
  135. Graph Learning for Numeric Planning
  136. Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
  137. Identifying Spatio-Temporal Drivers of Extreme Events
  138. Identifying General Mechanism Shifts in Linear Causal Representations
  139. Natural gradient and parameter estimation for quantum Boltzmann machines
  140. Advanced Predictive Quality Assessment for Ultrasonic Additive Manufacturing with Deep Learning Model
  141. EigenVI: score-based variational inference with orthogonal function expansions
  142. Attention is All You Need to Optimize Wind Farm Operations and Maintenance
  143. A Mechanistic Study of Transformers Training Dynamics
  144. Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
  145. Handwriting Recognition in Historical Documents with Multimodal LLM
  146. Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  147. A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems using Disparity Maps
  148. Joint Training for Selective Prediction
  149. AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control
  150. RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
  151. SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation
  152. Detecting text level intellectual influence with knowledge graph embeddings
  153. Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?
  154. Bayesian-guided Label Mapping for Visual Reprogramming
  155. Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
  156. Maximum Entropy Hindsight Experience Replay
  157. Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities
  158. Diffusion Twigs with Loop Guidance for Conditional Graph Generation
  159. Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
  160. Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
  161. Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer's Disease Diagnosis
  162. ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images
  163. An Information Criterion for Controlled Disentanglement of Multimodal Data
  164. Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
  165. Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
  166. Localization, balance and affinity: a stronger multifaceted collaborative salient object detector in remote sensing images
  167. JEMA: A Joint Embedding Framework for Scalable Co-Learning with Multimodal Alignment
  168. Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
  169. TrAct: Making First-layer Pre-Activations Trainable
  170. Interactive proofs for verifying (quantum) learning and testing
  171. Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language
  172. An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions
  173. Scalable Kernel Inverse Optimization
  174. Deep Learning Frameworks for Cognitive Radio Networks: Review and Open Research Challenges
  175. Transformers to Predict the Applicability of Symbolic Integration Routines
  176. MV-CC: Mask Enhanced Video Model for Remote Sensing Change Caption
  177. Quantum Deep Equilibrium Models
  178. Learning Macroscopic Dynamics from Partial Microscopic Observations
  179. Robust Sparse Regression with Non-Isotropic Designs
  180. Towards Fast Algorithms for the Preference Consistency Problem Based on Hierarchical Models
  181. Language Models can Self-Lengthen to Generate Long Texts
  182. Manipulating Vehicle 3D Shapes through Latent Space Editing
  183. Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
  184. BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
  185. Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling
  186. Efficient Inference and Computation of Optimal Alternatives for Preference Languages Based On Lexicographic Models
  187. Uncertainty Estimation for 3D Object Detection via Evidential Learning
  188. From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots
  189. EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
  190. Neural Network Verification with PyRAT
  191. Metamorphic Malware Evolution: The Potential and Peril of Large Language Models
  192. AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
  193. Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages
  194. GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
  195. 'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
  196. DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
  197. Transparent Trade-offs between Properties of Explanations
  198. QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits
  199. psiDAG: Projected Stochastic Approximation Iteration for DAG Structure Learning
  200. Neural Network Matrix Product Operator: A Multi-Dimensionally Integrable Machine Learning Potential
  201. Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
  202. The Automated Verification of Textual Claims (AVeriTeC) Shared Task
  203. Case ID detection based on time series data -- the mining use case
  204. Commonsense Knowledge Editing Based on Free-Text in LLMs
  205. Auditing Google's Search Algorithm: Measuring News Diversity Across Brazil, the UK, and the US
  206. FRoundation: Are Foundation Models Ready for Face Recognition?
  207. Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks
  208. Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection
  209. GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
  210. Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
  211. Weight decay induces low-rank attention layers
  212. The NPU-HWC System for the ISCSLP 2024 Inspirational and Convincing Audio Generation Challenge
  213. Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
  214. CALE: Continuous Arcade Learning Environment
  215. One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
  216. Human Action Recognition (HAR) Using Skeleton-based Spatial Temporal Relative Transformer Network: ST-RTR
  217. Generative AI for Accessible and Inclusive Extended Reality
  218. Improving snore detection under limited dataset through harmonic/percussive source separation and convolutional neural networks
  219. Neural Model Checking
  220. Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions
  221. Towards Generative Ray Path Sampling for Faster Point-to-Point Ray Tracing
  222. Disentangling Interactions and Dependencies in Feature Attribution
  223. What is Wrong with Perplexity for Long-context Language Modeling?
  224. The Potential of LLMs in Medical Education: Generating Questions and Answers for Qualification Exams
  225. HD-OOD3D: Supervised and Unsupervised Out-of-Distribution object detection in LiDAR data
  226. Reverse Attitude Statistics Based Star Map Identification Method
  227. EXACFS -- A CIL Method to mitigate Catastrophic Forgetting
  228. LATST: Are Transformers Necessarily Complex for Time-Series Forecasting
  229. Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
  230. DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
  231. Syno: Structured Synthesis for Neural Operators
  232. EchoNarrator: Generating natural text explanations for ejection fraction predictions
  233. Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?
  234. An Empirical Analysis of GPT-4V's Performance on Fashion Aesthetic Evaluation
  235. GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization
  236. Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial
  237. Argumentation and Machine Learning
  238. GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
  239. Llama-Mob: Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction
  240. Automatically Learning Hybrid Digital Twins of Dynamical Systems
  241. XRDSLAM: A Flexible and Modular Framework for Deep Learning based SLAM
  242. Towards Dynamic Message Passing on Graphs
  243. Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
  244. Goal Hijacking Attack on Large Language Models via Pseudo-Conversation Injection
  245. Wide Two-Layer Networks can Learn from Adversarial Perturbations
  246. Provable Benefit of Cutout and CutMix for Feature Learning
  247. Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance
  248. Projected Neural Differential Equations for Learning Constrained Dynamics
  249. DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection
  250. Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
  251. GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring
  252. Morphological Typology in BPE Subword Productivity and Language Modeling
  253. Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction
  254. Online Consistency of the Nearest Neighbor Rule
  255. Development and prospective validation of a prostate cancer detection, grading, and workflow optimization system at an academic medical center
  256. Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
  257. Anytime-Constrained Equilibria in Polynomial Time
  258. Sample-Efficient Agnostic Boosting
  259. Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI
  260. Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
  261. Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data
  262. An Application of the Holonomic Gradient Method to the Neural Tangent Kernel
  263. EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography
  264. Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
  265. Learning quantum states prepared by shallow circuits in polynomial time
  266. Global Convergence in Training Large-Scale Transformers
  267. On Positional Bias of Faithfulness for Long-form Summarization
  268. Context-Aware Token Selection and Packing for Enhanced Vision Transformer
  269. Using Multimodal Deep Neural Networks to Disentangle Language from Visual Aesthetics
  270. Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
  271. Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
  272. Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of Cortical Folding Patterns
  273. Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
  274. End-to-End Ontology Learning with Large Language Models
  275. BioNCERE: Non-Contrastive Enhancement For Relation Extraction In Biomedical Texts
  276. Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis
  277. MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction
  278. Online Convex Optimization with Memory and Limited Predictions
  279. Phrase Decoupling Cross-Modal Hierarchical Matching and Progressive Position Correction for Visual Grounding
  280. Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization
  281. Prosody as a Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implications
  282. 2D Empirical Transforms. Wavelets, Ridgelets and Curvelets revisited
  283. Large Language Models for Patient Comments Multi-Label Classification
  284. LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
  285. LBurst: Learning-Based Robotic Burst Feature Extraction for 3D Reconstruction in Low Light