mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 17 Apr 2024

263 papers

  1. Prompt-Driven Feature Diffusion for Open-World Semi-Supervised LearningDiffusion models → Image generation, text-to-image and editing
  2. Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative StudyLLM reasoning → Knowledge- and tool-augmented reasoning +1
  3. CU-Mamba: Selective State Space Models with Channel Learning for Image RestorationState-space sequence models (S4, Mamba) → Mamba for image restoration
  4. Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender SystemsLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  5. Language Models Still Struggle to Zero-shot Reason about Time SeriesLLM reasoning → Time series reasoning
  6. Missed Connections: Lateral Thinking Puzzles for Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  7. How often are errors in natural language reasoning due to paraphrastic variability?LLM reasoning → Reasoning benchmarks and evaluation
  8. Factorized Diffusion: Perceptual Illusions by Noise DecompositionDiffusion models → Image generation, text-to-image and editing
  9. Dynamic Typography: Bringing Text to Life via Video Diffusion PriorDiffusion models → Image generation, text-to-image and editing
  10. InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion PriorDiffusion models → 3D, point cloud and scene generation
  11. VG4D: Vision-Language Model Goes 4D Video RecognitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  12. IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown IlluminationDiffusion models → 3D, point cloud and scene generation
  13. Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept UnderstandingDiffusion models → Image generation, text-to-image and editing
  14. The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A SurveyLLM agents and tool use → General LLM agent frameworks and benchmarks
  15. LTL-Constrained Policy Optimization with Cycle Experience ReplayDeep reinforcement learning methods → Interpretable and logic-guided RL
  16. A Reliable Cryptographic Framework for Empirical Machine Unlearning EvaluationLLM safety and security → Machine unlearning
  17. MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image GenerationDiffusion models → Image generation, text-to-image and editing
  18. SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing PansharpeningDiffusion models → Inverse problems and image restoration
  19. VC Theory for Inventory PoliciesDeep reinforcement learning methods → RL for energy, networks and operations
  20. Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language ModelsLLM reasoning → Mathematical reasoning
  21. AgentKit: Structured LLM Reasoning with Dynamic GraphsLLM reasoning → Reasoning for agents, planning and code
  22. Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware PromptDiffusion models → Image generation, text-to-image and editing
  23. Octopus v3: Technical Report for On-device Sub-billion Multimodal AI AgentLLM agents and tool use → Multimodal and embodied agents
  24. Neural Shr"odinger Bridge Matching for PansharpeningDiffusion models → Inverse problems and image restoration
  25. DUPE: Detection Undermining via Prompt Engineering for Deepfake TextLLM safety and security → Watermarking generated content and models
  26. Convergence of Policy Gradient for Stochastic Linear-Quadratic Control Problem in Infinite HorizonDeep reinforcement learning methods → RL for games and combinatorial optimization
  27. Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human MotionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  28. Closely Interactive Human Reconstruction with Proxemics and Physics-Guided AdaptionDiffusion models → Video generation
  29. The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned DataLLM safety and security → Backdoor and data poisoning attacks
  30. Sampling-based Pseudo-Likelihood for Membership Inference AttacksLLM safety and security → Membership inference attacks
  31. A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual SceneKnowledge distillation → Multimodal distillation
  32. Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale ApplicationsDiffusion models → Inverse problems and image restoration
  33. Exploring the Transferability of Visual Prompting for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  34. Fact :Teaching MLLMs with Faithful, Concise and Transferable RationalesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  35. TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image EditingDiffusion models → Image generation, text-to-image and editing
  36. LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  37. Inductive-Deductive Strategy Reuse for Multi-Turn Instructional DialoguesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  38. LMEraser: Large Model Unlearning through Adaptive Prompt TuningLLM safety and security → Machine unlearning
  39. Stepwise Alignment for Constrained Language Model Policy OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  40. Lightweight Unsupervised Federated Learning with Pretrained Vision Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  41. Offset Unlearning for Large Language ModelsLLM safety and security → Machine unlearning
  42. On the Empirical Complexity of Reasoning and Planning in LLMsLLM reasoning → Prompting and chain-of-thought reasoning
  43. Function Approximation for Reinforcement Learning Controller for Energy from Spread WavesDeep reinforcement learning methods → RL for energy, networks and operations
  44. A Survey on Retrieval-Augmented Text Generation for Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
  45. Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  46. Model Callers for Transforming Predictive and Generative AI Applications
  47. OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing
  48. Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier
  49. Towards Robust and Interpretable EMG-based Hand Gesture Recognition using Deep Metric Meta Learning
  50. Demystifying Legalese: An Automated Approach for Summarizing and Analyzing Overlaps in Privacy Policies and Terms of Service
  51. Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
  52. SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
  53. Prediction of soil fertility parameters using USB-microscope imagery and portable X-ray fluorescence spectrometry
  54. Unsupervised Microscopy Video Denoising
  55. Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding
  56. SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
  57. TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation
  58. Developing Situational Awareness for Joint Action with Autonomous Vehicles
  59. Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Dataset
  60. When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery
  61. Enhancing Argument Summarization: Prioritizing Exhaustiveness in Key Point Generation and Introducing an Automatic Coverage Evaluation Metric
  62. Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads
  63. REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
  64. 3D object quality prediction for Metal Jet Printer with Multimodal thermal encoder
  65. Event-Based Eye Tracking. AIS 2024 Challenge Survey
  66. QGen: On the Ability to Generalize in Quantization Aware Training
  67. Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
  68. End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
  69. Multimodal 3D Object Detection on Unseen Domains
  70. IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery
  71. Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery
  72. Differentiated Aggregation to Improve Generalization in Federated Learning
  73. Virtual Foundry Graphnet for Metal Sintering Deformation Prediction
  74. Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactions
  75. Incremental Bootstrapping and Classification of Structured Scenes in a Fuzzy Ontology
  76. Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition
  77. Diffusion Schr"odinger Bridge Models for High-Quality MR-to-CT Synthesis for Head and Neck Proton Treatment Planning
  78. Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
  79. Learning with 3D rotations, a hitchhiker's guide to SO(3)
  80. Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
  81. Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills
  82. Investigating Gender Bias in Turkish Language Models
  83. Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models
  84. GEOBIND: Binding Text, Image, and Audio through Satellite Images
  85. A Survey on Semantic Modeling for Building Energy Management
  86. Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System
  87. Pretraining Billion-scale Geospatial Foundational Models on Frontier
  88. A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications
  89. Improvement in Semantic Address Matching using Natural Language Processing
  90. Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models
  91. How Well Can You Articulate that Idea? Insights from Automated Formative Assessment
  92. Cross-Problem Learning for Solving Vehicle Routing Problems
  93. Practical applications of machine-learned flows on gauge fields
  94. MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory
  95. Factorized Motion Fields for Fast Sparse Input Dynamic View Synthesis
  96. Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
  97. Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers
  98. Designing an Intelligent Parcel Management System using IoT & Machine Learning
  99. Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
  100. Variational Bayesian Last Layers
All 263
  1. Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review
  2. A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion
  3. Related Work and Citation Text Generation: A Survey
  4. Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition
  5. E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model
  6. State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend
  7. Simple Image Signal Processing using Global Context Guidance
  8. On the Scalability of GNNs for Molecular Graphs
  9. Predicting Long-horizon Futures by Conditioning on Geometry and Time
  10. Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
  11. Evaluating Span Extraction in Generative Paradigm: A Reflection on Aspect-Based Sentiment Analysis
  12. GenFighter: A Generative and Evolutive Textual Attack Removal
  13. FedPFT: Federated Proxy Fine-Tuning of Foundation Models
  14. Decomposing and Editing Predictions by Modeling Model Computation
  15. Select and Reorder: A Novel Approach for Neural Sign Language Production
  16. Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
  17. A Comparison of Traditional and Deep Learning Methods for Parameter Estimation of the Ornstein-Uhlenbeck Process
  18. JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA
  19. Embedding Privacy in Computational Social Science and Artificial Intelligence Research
  20. Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging
  21. Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models
  22. A Data-Driven Representation for Sign Language Production
  23. Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem
  24. arcjetCV: an open-source software to analyze material ablation
  25. Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems
  26. Randomly Pivoted Partial Cholesky: Random How?
  27. Discovering Nuclear Models from Symbolic Machine Learning
  28. Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act
  29. AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters
  30. A Federated Learning Approach to Privacy Preserving Offensive Language Identification
  31. Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery for a Tabletop Verification Exercise
  32. Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem
  33. Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
  34. AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts
  35. Research on emotionally intelligent dialogue generation based on automatic dialogue system
  36. Open-Ended Wargames with Large Language Models
  37. Prediction of Unmanned Surface Vessel Motion Attitude Based on CEEMDAN-PSO-SVM
  38. Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation
  39. CarcassFormer: An End-to-end Transformer-based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect
  40. Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
  41. SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow
  42. Short-term wind speed forecasting model based on an attention-gated recurrent neural network and error correction strategy
  43. SLAIM: Robust Dense Neural SLAM for Online Tracking and Mapping
  44. RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural Rendering
  45. Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning
  46. Fast Polypharmacy Side Effect Prediction Using Tensor Factorisation
  47. Characterizing and modeling harms from interactions with design patterns in AI interfaces
  48. Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer
  49. DeblurGS: Gaussian Splatting for Camera Motion Blur
  50. Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving
  51. Consisaug: A Consistency-based Augmentation for Polyp Detection in Endoscopy Image Analysis
  52. Distributed Fractional Bayesian Learning for Adaptive Optimization
  53. Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
  54. TeClass: A Human-Annotated Relevance-based Headline Classification and Generation Dataset for Telugu
  55. Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
  56. The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology
  57. Best Practices for a Handwritten Text Recognition System
  58. Vision-based control for landing an aerial vehicle on a marine vessel
  59. SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap
  60. Toward Understanding the Disagreement Problem in Neural Network Feature Attribution
  61. Following the Human Thread in Social Navigation
  62. SCL: Towards Domain Generalization via Single-Temporal Multimodal Contrastive Learning for Remote Sensing Change Detection
  63. VBR: A Vision Benchmark in Rome
  64. Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection
  65. Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
  66. To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese
  67. NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
  68. Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection
  69. Achieving Rotation-Invariant Convolution via Non-Learnable Orientation Alignment Operators
  70. A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
  71. Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
  72. How to Exhibit More Predictable Behaviors
  73. Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems
  74. A Preference-driven Paradigm for Enhanced Translation with Large Language Models
  75. Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks
  76. Quantum-inspired Techniques in Tensor Networks for Industrial Contexts
  77. Towards Data-Centric Automatic R&D
  78. Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
  79. DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
  80. Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
  81. MMCBE: Multi-modality Dataset for Crop Biomass Prediction and Beyond
  82. ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset
  83. Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge
  84. Simple In-place Data Augmentation for Surveillance Object Detection
  85. In-Context Learning State Vector with Inner and Momentum Optimization
  86. Analytical results for uncertainty propagation through trained machine learning regression models
  87. Position Engineering: Boosting Large Language Models through Positional Information Manipulation
  88. Feature Corrective Transfer Learning: End-to-End Solutions to Object Detection in Non-Ideal Visual Conditions
  89. Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis
  90. Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM
  91. CAGE: Causality-Aware Shapley Value for Global Explanations
  92. Prompt-tuning for Clickbait Detection via Text Summarization
  93. Pose2Gest: A Few-Shot Model-Free Approach Applied In South Indian Classical Dance Gesture Recognition
  94. GhostNetV3: Exploring the Training Strategies for Compact Models
  95. Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation
  96. FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
  97. KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections
  98. Deep Neural Networks via Complex Network Theory: a Perspective
  99. Personalized Heart Disease Detection via ECG Digital Twin Generation
  100. LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory
  101. BAHOP: Similarity-based Basin Hopping for A fast hyper-parameter search in WSI classification
  102. Low-Cost Language Models: Survey and Performance Evaluation on Python Code Generation
  103. Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey
  104. Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
  105. Improving Hierarchical Representations of Vectorized HD Maps with Perspective Clues
  106. Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
  107. REACTO: Reconstructing Articulated Objects from a Single Video
  108. Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients
  109. Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
  110. Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation
  111. GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement
  112. A Novel ICD Coding Method Based on Associated and Hierarchical Code Description Distillation
  113. Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control
  114. D-Aug: Enhancing Data Augmentation for Dynamic LiDAR Scenes
  115. What's under the hood: Investigating Automatic Metrics on Meeting Summarization
  116. Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification
  117. TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment
  118. FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU
  119. Variational quantization for state space models
  120. Music Enhancement with Deep Filters: A Technical Report for The ICASSP 2024 Cadenza Challenge
  121. Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning
  122. CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation
  123. Consistency Training by Synthetic Question Generation for Conversational Question Answering
  124. LADDER: An Efficient Framework for Video Frame Interpolation
  125. Object Remover Performance Evaluation Methods using Class-wise Object Removal Images
  126. Synthesizing Realistic Data for Table Recognition
  127. Simulating Non-Markovian Open Quantum Dynamics with Neural Quantum States
  128. ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models
  129. EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
  130. Large Language Models Meet User Interfaces: The Case of Provisioning Feedback
  131. Sky-GVIO: an enhanced GNSS/INS/Vision navigation with FCN-based sky-segmentation in urban canyon
  132. ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours
  133. Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization
  134. Unified Examination of Entity Linking in Absence of Candidate Sets
  135. Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis
  136. Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection
  137. Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification
  138. WPS-Dataset: A benchmark for wood plate segmentation in bark removal processing
  139. Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement
  140. CORE: Data Augmentation for Link Prediction via Information Bottleneck
  141. TaCOS: Task-Specific Camera Optimization with Simulation
  142. Empowering Large Language Models on Robotic Manipulation with Affordance Prompting
  143. NeuroHash: A Hyperdimensional Neuro-Symbolic Framework for Spatially-Aware Image Hashing and Retrieval
  144. Duality induced by an embedding structure of determinantal point process
  145. Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
  146. You do not have to train Graph Neural Networks at all on text-attributed graphs
  147. Many-Shot In-Context Learning
  148. MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training
  149. FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
  150. Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
  151. Control Theoretic Approach to Fine-Tuning and Transfer Learning
  152. AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation
  153. InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
  154. Online Algorithms with Limited Data Retention
  155. Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies
  156. How to deal with glare for improved perception of Autonomous Vehicles
  157. FairSSD: Understanding Bias in Synthetic Speech Detectors
  158. Pixel-Wise Symbol Spotting via Progressive Points Location for Parsing CAD Images
  159. Graph Continual Learning with Debiased Lossless Memory Replay
  160. Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
  161. Leveraging 3D LiDAR Sensors to Enable Enhanced Urban Safety and Public Health: Pedestrian Monitoring and Abnormal Activity Detection
  162. Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
  163. Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation