mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 5 Feb 2024

373 papers

  1. Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgentDeep reinforcement learning methods → Deep RL algorithms and representations
  2. Abstracted Trajectory Visualization for Explainability in Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
  3. A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and ApplicationsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  4. Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  5. DiffsFormer: A Diffusion Transformer on Stock Factor AugmentationDiffusion models → Flow matching, time series and science
  6. DeAL: Decoding-time Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  7. The last Dance : Robust backdoor attack via diffusion models and bayesian approachDiffusion models → Robustness, privacy and adversarial aspects +1
  8. Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique ExperiencesDeep reinforcement learning methods → RL theory and sample complexity
  9. Financial Report Chunking for Effective Retrieval Augmented GenerationRetrieval-augmented generation → Multimodal RAG
  10. Enhancing textual textbook question answering with large language models and retrieval augmented generationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  11. Assessing the Impact of Distribution Shift on Reinforcement Learning PerformanceDeep reinforcement learning methods → Deep RL algorithms and representations
  12. Single- vs. Dual-Policy Reinforcement Learning for Dynamic Bike RebalancingDeep reinforcement learning methods → RL for energy, networks and operations
  13. LLM Multi-Agent Systems: Challenges and Open ProblemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  14. Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement LearningWorld models → Latent dynamics models and model-based RL +2
  15. VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language NavigationEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
  16. Constrained Synthesis with Projected Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  17. Deep Reinforcement Learning for Picker Routing Problem in WarehousingDeep reinforcement learning methods → RL for games and combinatorial optimization
  18. Neural networks for abstraction and reasoning: Towards broad generalization in machinesLLM reasoning → Multimodal reasoning
  19. An Inpainting-Infused Pipeline for Attire and Background ReplacementDiffusion models → 3D, point cloud and scene generation
  20. Curriculum reinforcement learning for quantum architecture search under hardware errorsDeep reinforcement learning methods → Quantum reinforcement learning
  21. DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment DesignDeep reinforcement learning methods → Deep RL algorithms and representations
  22. Estimating Epistemic and Aleatoric Uncertainty with a Single ModelDiffusion models → Diffusion foundations and sampling
  23. Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  24. Denoising Diffusion via Image-Based RenderingDiffusion models → 3D, point cloud and scene generation
  25. Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?Diffusion models → Diffusion foundations and sampling
  26. Nevermind: Instruction Override and Moderation in Large Language ModelsLLM safety and security → Jailbreaking
  27. Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  28. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsLLM reasoning → Mathematical reasoning
  29. GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language ModelsLLM safety and security → Jailbreaking
  30. InstanceDiffusion: Instance-level Control for Image GenerationDiffusion models → Image generation, text-to-image and editing
  31. A Theoretical Framework for Partially Observed Reward-States in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  32. Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  33. Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths AggregationLLM reasoning → Reasoning benchmarks and evaluation
  34. FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action RecognitionKnowledge distillation → General knowledge distillation methods
  35. Explicit Flow Matching: On The Theory of Flow Matching Algorithms with ApplicationsDiffusion models → Flow matching, time series and science
  36. FuseMoE: Mixture-of-Experts Transformers for Fleximodal FusionMixture-of-experts → Expert routing strategies
  37. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  38. Light and Optimal Schr"odinger Bridge MatchingDiffusion models → Diffusion foundations and sampling
  39. Guidance with Spherical Gaussian Constraint for Conditional DiffusionDiffusion models → Diffusion foundations and sampling
  40. Unified Hallucination Detection for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  41. C-RAG: Certified Generation Risks for Retrieval-Augmented Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  42. Beyond the Black Box: A Statistical Model for LLM Reasoning and InferenceLLM reasoning → Reasoning benchmarks and evaluation
  43. MULTI: Multimodal Understanding Leaderboard with Text and ImagesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  44. Is Mamba Capable of In-Context Learning?State-space sequence models (S4, Mamba) → Core SSM architectures for language
  45. Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object MotionDiffusion models → Video generation
  46. Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional TokenizationMultimodal LLMs / vision-language models → Video understanding with MLLMs
  47. A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  48. Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short DelaysDeep reinforcement learning methods → Deep RL algorithms and representations
  49. Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained RepresentationsDeep reinforcement learning methods → Deep RL algorithms and representations
  50. Good Teachers Explain: Explanation-Enhanced Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  51. Preference-Conditioned Language-Guided AbstractionOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  52. Learning to Abstract Visuomotor Mappings using Meta-Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  53. Deep Exploration with PAC-BayesDeep reinforcement learning methods → RL theory and sample complexity
  54. Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic RepresentationsRetrieval-augmented generation → Generation and context integration
  55. PFDM: Parser-Free Virtual Try-on via Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  56. Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  57. Decoding-time Realignment of Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  58. DexDiffuser: Generating Dexterous Grasps with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  59. Variational Flow Models: Flowing in Your StyleDiffusion models → Flow matching, time series and science
  60. Retrieval-Augmented Score Distillation for Text-to-3D GenerationRetrieval-augmented generation → Multimodal RAG +1
  61. On Least Square Estimation in Softmax Gating Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  62. Intrinsic User-Centric Interpretability through Global Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  63. ViewFusion: Learning Composable Diffusion Models for Novel View SynthesisDiffusion models → 3D, point cloud and scene generation
  64. LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
  65. Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation ProblemDeep reinforcement learning methods → RL training of language and agent models
  66. Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learningOffline RL and imitation learning from data → Offline RL algorithms
  67. Graph-enhanced Large Language Models in Asynchronous Plan ReasoningLLM reasoning → Reasoning for agents, planning and code
  68. Extreme Two-View Geometry From Object Poses with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  69. PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsLLM reasoning → Test-time compute and efficient thinking
  70. Dual Knowledge Distillation for Efficient Sound Event DetectionKnowledge distillation → Speech and audio distillation
  71. Contrastive Diffuser: Planning Towards High Return States via Contrastive LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
  72. List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented GenerationRetrieval-augmented generation → Generation and context integration
  73. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheEfficient LLM inference and serving → KV cache quantization
  74. DisDet: Exploring Detectability of Backdoor Attack on Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  75. Understanding the planning of LLM agents: A surveyLLM agents and tool use → General LLM agent frameworks and benchmarks
  76. Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical EvidenceDeep reinforcement learning methods → Deep RL algorithms and representations
  77. Sample Complexity Characterization for Linear Contextual MDPsDeep reinforcement learning methods → RL theory and sample complexity
  78. Large Language Models are Geographically BiasedWorld models → World models for language agents
  79. Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  80. Image-Caption Encoding for Improving Zero-Shot GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  81. Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process SupervisionLLM reasoning → Reinforcement learning for reasoning
  82. Vision-Language Models Provide Promptable Representations for Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  83. Recursive Chain-of-Feedback Prevents Performance Degradation from Redundant PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  84. Exploring Biologically Inspired Mechanisms of Adversarial Robustness
  85. Dependency Aware Incident Linking in Large Cloud Systems
  86. Training morphological neural networks with gradient descent: some theoretical insights
  87. Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases
  88. Governance of Generative Artificial Intelligence for Companies
  89. CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation
  90. From Algorithm Worship to the Art of Human Learning: Insights from 50-year journey of AI in Education
  91. Avoiding an AI-imposed Taylor's Version of all music history
  92. Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial Networks
  93. Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions
  94. Authentication and integrity of smartphone videos through multimedia container structure analysis
  95. A philosophical and ontological perspective on Artificial General Intelligence and the Metaverse
  96. Adversarial Text Purification: A Large Language Model Approach for Defense
  97. Federated Learning Priorities Under the European Union Artificial Intelligence Act
  98. Vanishing Feature: Diagnosing Model Merging and Beyond
  99. Hybrid Neural Representations for Spherical Data
  100. A Survey on Transformer Compression
All 373
  1. EXGC: Bridging Efficiency and Explainability in Graph Condensation
  2. Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
  3. Phase-driven Domain Generalizable Learning for Nonstationary Time Series
  4. TexShape: Information Theoretic Sentence Embedding for Language Models
  5. LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System
  6. Best Practices for Text Annotation with Large Language Models
  7. Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
  8. Graph Neural Network and NER-Based Text Summarization
  9. Zero-Shot Clinical Trial Patient Matching with LLMs
  10. Gaussian Plane-Wave Neural Operator for Electron Density Estimation
  11. Quantized Approximately Orthogonal Recurrent Neural Networks
  12. Continual Domain Adversarial Adaptation via Double-Head Discriminators
  13. Information-Theoretic Active Correlation Clustering
  14. Decoder-Only Image Registration
  15. MQuinE: a cure for "Z-paradox" in knowledge graph embedding models
  16. Deconstructing the Goldilocks Zone of Neural Network Initialization
  17. Revisiting the Dataset Bias Problem from a Statistical Perspective
  18. Generalization Properties of Adversarial Training for ℓ0-Bounded Adversarial Attacks
  19. Toward Human-AI Alignment in Large-Scale Multi-Player Games
  20. SkipPredict: When to Invest in Predictions for Scheduling
  21. Distinguishing the Knowable from the Unknowable with Language Models
  22. Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together?
  23. Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
  24. One-shot Neural Face Reenactment via Finding Directions in GAN's Latent Space
  25. AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising
  26. Single-GPU GNN Systems: Traps and Pitfalls
  27. Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks
  28. Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
  29. HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
  30. Regulation Games for Trustworthy Machine Learning
  31. Extended Version of: On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions?
  32. Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model
  33. ANN-based position and speed sensorless estimation for BLDC motors
  34. Fairness and Privacy Guarantees in Federated Contextual Bandits
  35. Consistent Validation for Predictive Methods in Spatial Settings
  36. nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model
  37. Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration
  38. Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains
  39. How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
  40. Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
  41. Partially Stochastic Infinitely Deep Bayesian Neural Networks
  42. Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks
  43. Beyond Strong labels: Weakly-supervised Learning Based on Gaussian Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in Non-contrast CTs
  44. Early prediction of onset of sepsis in Clinical Setting
  45. Attention Meets Post-hoc Interpretability: A Mathematical Perspective
  46. Harnessing PubMed User Query Logs for Post Hoc Explanations of Recommended Similar Articles
  47. SWAG: Storytelling With Action Guidance
  48. FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
  49. Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
  50. Arabic Synonym BERT-based Adversarial Examples for Text Classification
  51. CT Material Decomposition using Spectral Diffusion Posterior Sampling
  52. Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers
  53. Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images
  54. Physics-Encoded Graph Neural Networks for Deformation Prediction under Contact
  55. Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines
  56. Constrained Multiview Representation for Self-supervised Contrastive Learning
  57. Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
  58. Challenges in Variable Importance Ranking Under Correlation
  59. Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach
  60. A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model
  61. An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping
  62. Perceptual Video Quality Assessment: A Survey
  63. See More Details: Efficient Image Super-Resolution by Experts Mining
  64. Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations
  65. Rethinking RGB Color Representation for Image Restoration Models
  66. Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning
  67. Test-Time Adaptation for Depth Completion
  68. HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
  69. V-IRL: Grounding Virtual Intelligence in Real Life
  70. AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion
  71. 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
  72. Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks
  73. Flora: Low-Rank Adapters Are Secretly Gradient Compressors
  74. Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
  75. Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS
  76. A Lennard-Jones Layer for Distribution Normalization
  77. Training-Free Consistent Text-to-Image Generation
  78. Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models
  79. Towards a Flexible Scale-out Framework for Efficient Visual Data Query Processing
  80. Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
  81. ISPA: Inter-Species Phonetic Alphabet for Transcribing Animal Sounds
  82. MobilityGPT: Enhanced Human Mobility Modeling with a GPT model
  83. Decision-Focused Learning with Directional Gradients
  84. Minimum Description Length and Generalization Guarantees for Representation Learning
  85. Fair Active Ranking from Pairwise Preferences
  86. CLIP Can Understand Depth
  87. HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator with Flexible Dataflows for Energy-Efficient CNN Inference
  88. SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM
  89. Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
  90. PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks
  91. JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching
  92. ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection
  93. Improved prediction of future user activity in online A/B testing
  94. Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation
  95. IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images
  96. English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts
  97. "Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition
  98. The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
  99. Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
  100. Multi-agent Reinforcement Learning for Energy Saving in Multi-Cell Massive MIMO Systems
  101. Isotropy, Clusters, and Classifiers
  102. Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms
  103. How Good is a Single Basin?
  104. Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning
  105. Empowering Time Series Analysis with Large Language Models: A Survey
  106. Cool-chic video: Learned video coding with 800 parameters
  107. CIDAR: Culturally Relevant Instruction Dataset For Arabic
  108. Comparison of Topic Modelling Approaches in the Banking Context
  109. Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
  110. Accurate and Well-Calibrated ICD Code Assignment Through Attention Over Diverse Label Embeddings
  111. Homograph Attacks on Maghreb Sentiment Analyzers
  112. A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
  113. Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
  114. RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification
  115. Decidable Reasoning About Time in Finite-Domain Situation Calculus Theories
  116. Linguistic features for sentence difficulty prediction in ABSA
  117. Optimal and Near-Optimal Adaptive Vector Quantization
  118. DogSurf: Quadruped Robot Capable of GRU-based Surface Recognition for Blind Person Navigation
  119. Learning solutions of parametric Navier-Stokes with physics-informed neural networks
  120. A Comparative Analysis of Microrings Based Incoherent Photonic GEMM Accelerators
  121. SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
  122. Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models
  123. Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
  124. Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification
  125. Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
  126. GPU-Accelerated 3D Polygon Visibility Volumes for Synergistic Perception and Navigation
  127. Constrained Decoding for Cross-lingual Label Projection
  128. User Centric Evaluation of Code Generation Tools
  129. How Free is Parameter-Free Stochastic Optimization?
  130. Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
  131. Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data
  132. Discovering interpretable models of scientific image data with deep learning
  133. Infrared Spectra Prediction for Diazo Groups Utilizing a Machine Learning Approach with Structural Attention Mechanism
  134. Non-Stationary Latent Auto-Regressive Bandits
  135. High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  136. Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases
  137. Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
  138. Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
  139. AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey
  140. Dual Lagrangian Learning for Conic Optimization
  141. Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing
  142. Markov Persuasion Processes: Learning to Persuade from Scratch
  143. Multilingual transformer and BERTopic for short text topic modeling: The case of Serbian
  144. A Comprehensive Study of the Current State-of-the-Art in Nepali Automatic Speech Recognition Systems
  145. EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
  146. Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
  147. SIDU-TXT: An XAI Algorithm for NLP with a Holistic Assessment Approach
  148. InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions
  149. Automatic Combination of Sample Selection Strategies for Few-Shot Learning
  150. Functional SDE approximation inspired by a deep operator network architecture
  151. Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
  152. Data-induced multiscale losses and efficient multirate gradient descent schemes
  153. Taylor Videos for Action Recognition
  154. A Complete Survey on Contemporary Methods, Emerging Paradigms and Hybrid Approaches for Few-Shot Learning
  155. Whom to Trust? Elective Learning for Distributed Gaussian Process Regression
  156. On the Impact of Output Perturbation on Fairness in Binary Linear Classification
  157. UniMem: Towards a Unified View of Long-Context Large Language Models
  158. Diffusive Gibbs Sampling
  159. On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions
  160. [Citation needed] Data usage and citation practices in medical imaging conferences
  161. Careful with that Scalpel: Improving Gradient Surgery with an EMA
  162. Text-Guided Image Clustering
  163. Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
  164. A Safety-Adapted Loss for Pedestrian Detection in Automated Driving
  165. Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing
  166. Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin
  167. Evaluating Datalog Tools for Meta-reasoning over OWL 2 QL
  168. Boosting, Voting Classifiers and Randomized Sample Compression Schemes
  169. Putting Context in Context: the Impact of Discussion Structure on Text Classification
  170. Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
  171. Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
  172. Mixed Noise and Posterior Estimation with Conditional DeepGEM
  173. One-class anomaly detection through color-to-thermal AI for building envelope inspection
  174. Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs
  175. AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image
  176. Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
  177. Unraveling the Key of Machine Learning-based Android Malware Detection
  178. Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
  179. Kernel PCA for Out-of-Distribution Detection
  180. HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space
  181. Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey
  182. Design and Implementation of an Automated Disaster-recovery System for a Kubernetes Cluster Using LSTM
  183. Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss
  184. Domain Adaptation of Multilingual Semantic Search -- Literature Review
  185. Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs
  186. Instance Segmentation XXL-CT Challenge of a Historic Airplane
  187. Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer
  188. Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes
  189. Mining a Minimal Set of Behavioral Patterns using Incremental Evaluation
  190. A Computational Model for the Assessment of Mutual Intelligibility Among Closely Related Languages
  191. DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network
  192. Digital Twin for Grey Box modeling of Multistory residential building thermal dynamics
  193. Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows
  194. Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
  195. Motion-Aware Video Frame Interpolation
  196. Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition
  197. Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding
  198. Time-, Memory- and Parameter-Efficient Visual Adaptation
  199. Time-Distributed Backdoor Attacks on Federated Spiking Learning
  200. A Review on Building Blocks of Decentralized Artificial Intelligence
  201. Approximate Attributions for Off-the-Shelf Siamese Transformers
  202. Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
  203. How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
  204. Rethinking Explainable Machine Learning as Applied Statistics
  205. Quantum Normalizing Flows for Anomaly Detection
  206. On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification
  207. EEVEE: An Easy Annotation Tool for Natural Language Processing
  208. Graph Neural Machine: A New Model for Learning with Tabular Data
  209. Leveraging Noisy Observations in Zero-Sum Games
  210. Importance sampling for online variational learning
  211. Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
  212. Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
  213. Enhancing Compositional Generalization via Compositional Feature Alignment
  214. An Attention Long Short-Term Memory based system for automatic classification of speech intelligibility
  215. Machine Learning Resistant Amorphous Silicon Physically Unclonable Functions (PUFs)
  216. Comparing Knowledge Sources for Open-Domain Scientific Claim Verification
  217. Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One
  218. With a Little Help from my (Linguistic) Friends: Topic Segmentation of Multi-party Casual Conversations
  219. Perceptual Learned Image Compression via End-to-End JND-Based Optimization
  220. Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods
  221. PowerGraph: A power grid benchmark dataset for graph neural networks
  222. SynthVision -- Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data
  223. Evading Data Contamination Detection for Language Models is (too) Easy
  224. Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
  225. Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing
  226. Intersectional Two-sided Fairness in Recommendation
  227. State estimation of urban air pollution with statistical, physical, and super-learning graph models
  228. Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI
  229. Are Sounds Sound for Phylogenetic Reconstruction?
  230. Large Language Model Distilling Medication Recommendation Model
  231. KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Models
  232. Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects
  233. A Learning-Based Caching Mechanism for Edge Content Delivery
  234. Stable and Robust Deep Learning By Hyperbolic Tangent Exponential Linear Unit (TeLU)
  235. From Partial to Strictly Incremental Constituent Parsing
  236. Accelerating Matroid Optimization through Fast Imprecise Oracles
  237. Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
  238. Intent Profiling and Translation Through Emergent Communication
  239. Transmission Line Detection Based on Improved Hough Transform
  240. Focal Modulation Networks for Interpretable Sound Classification
  241. Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization
  242. Glocal Hypergradient Estimation with Koopman Operator
  243. Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective
  244. Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes
  245. Integrative Variational Autoencoders for Generative Modeling of an Image Outcome with Multiple Input Images
  246. ToonAging: Face Re-Aging upon Artistic Portrait Style Transfer
  247. A Generative Approach to Surrogate-based Black-box Attacks
  248. Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN
  249. Cybersickness Detection through Head Movement Patterns: A Promising Approach
  250. FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells
  251. Discounted Adaptive Online Learning: Towards Better Regularization
  252. Denoising Time Cycle Modeling for Recommendation
  253. Position: What Can Large Language Models Tell Us about Time Series Analysis
  254. Architectural Strategies for the optimization of Physics-Informed Neural Networks
  255. Representation Surgery for Multi-Task Model Merging
  256. Adversarial Data Augmentation for Robust Speaker Verification
  257. Beyond Expectations: Learning with Stochastic Dominance Made Practical
  258. Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
  259. Causal Feature Selection for Responsible Machine Learning
  260. Exploiting Class Probabilities for Black-box Sentence-level Attacks
  261. Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift
  262. Statistical Guarantees for Link Prediction using Graph Neural Networks
  263. Poisson Process for Bayesian Optimization
  264. Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
  265. Equivariant Symmetry Breaking Sets
  266. Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating
  267. Verifiable evaluations of machine learning models using zkSNARKs
  268. Estimation of conditional average treatment effects on distributed confidential data
  269. Counterfactual Fairness Is Not Demographic Parity, and Other Observations
  270. RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
  271. VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
  272. Learning with Mixture of Prototypes for Out-of-Distribution Detection
  273. Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation