mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 18 Nov 2024

295 papers

  1. Testing Uncertainty of Large Language Models for Physics Knowledge and ReasoningLLM reasoning → Spatial and embodied reasoning
  2. Preserving Expert-Level Privacy in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  3. Improved GUI Grounding via Iterative NarrowingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  4. Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic StudyDiffusion models → Diffusion foundations and sampling
  5. Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in RoboticsVision-language-action models → Safety and adversarial attacks
  6. Decoupling Training-Free Guided Diffusion by ADMMDiffusion models → Diffusion foundations and sampling
  7. CROW: Eliminating Backdoors from Large Language Models via Internal Consistency RegularizationLLM safety and security → Backdoor and data poisoning attacks
  8. Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning MethodsLLM safety and security → Machine unlearning
  9. Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class PruningDiffusion models → Image generation, text-to-image and editing
  10. Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  11. Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle AttackDeep reinforcement learning methods → Adversarial robustness and RL in finance
  12. ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural EnhancementsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  13. Fast Convergence of Softmax Policy Mirror AscentDeep reinforcement learning methods → RL theory and sample complexity
  14. Regret-Free Reinforcement Learning for LTL SpecificationsDeep reinforcement learning methods → Interpretable and logic-guided RL
  15. Understanding Chain-of-Thought in LLMs through Information TheoryLLM reasoning → Prompting and chain-of-thought reasoning
  16. Medical Video Generation for Disease Progression SimulationDiffusion models → Medical imaging and segmentation
  17. Fair Distillation: Teaching Fairness from Biased Teachers in Medical ImagingKnowledge distillation → General knowledge distillation methods
  18. Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF DatasetsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  19. AtomThink: Multimodal Slow Thinking with Atomic Step ReasoningLLM reasoning → Multimodal reasoning +1
  20. KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear ModelingState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  21. Continuous Speculative Decoding for Autoregressive Image GenerationEfficient LLM inference and serving → Fast autoregressive visual generation
  22. DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving ScenesWorld models → World models for autonomous driving
  23. VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty EstimationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  24. Bi-Mamba: Towards Accurate 1-Bit State Space ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  25. Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex OptimizationDeep reinforcement learning methods → RL for robot navigation and UAV control
  26. High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric VehiclesDeep reinforcement learning methods → RL for autonomous driving and traffic
  27. Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual FrameworkLLM agents and tool use → Reinforcement learning for LLM agents +2
  28. The Power of Many: Multi-Agent Multimodal Models for Cultural Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  29. Aligning Few-Step Diffusion Models with Dense Reward Difference LearningDiffusion models → Diffusion and flow policies for robotics
  30. RAWMamba: Unified sRGB-to-RAW De-rendering With State Space ModelState-space sequence models (S4, Mamba) → Mamba for image restoration
  31. MC-LLaVA: Multi-Concept Personalized Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  32. Robust Reinforcement Learning under Diffusion Models for Data with JumpsDiffusion models → Diffusion and flow policies for robotics +1
  33. Enhancing LLM Reasoning with Reward-guided Tree SearchLLM reasoning → Test-time compute and efficient thinking +1
  34. Watermarking Visual Concepts for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  35. Robot Collapse: Supply Chain Backdoor Attacks Against VLM-based Robotic ManipulationLLM safety and security → Prompt injection and agent security
  36. PSPO*: An Effective Process-supervised Policy Optimization for Reasoning AlignmentLLM reasoning → Reinforcement learning for reasoning +1
  37. Near-Optimal Reinforcement Learning with Shuffle Differential PrivacyDeep reinforcement learning methods → RL for energy, networks and operations
  38. Federated Incremental Named Entity RecognitionKnowledge distillation → Federated, robust and private distillation
  39. VLN-Game: Vision-Language Equilibrium Search for Zero-Shot Semantic NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  40. PSA-VLM: Enhancing Vision-Language Model Safety through Progressive Concept-Bottleneck-Driven AlignmentMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  41. Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell SegmentationDiffusion models → Medical imaging and segmentation
  42. Structure learning with Temporal Gaussian Mixture for model-based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  43. LaVin-DiT: Large Vision Diffusion TransformerDiffusion models → Diffusion foundations and sampling
  44. Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language ModelsLLM reasoning → Reasoning for agents, planning and code +2
  45. Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media ContextsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  46. SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AILLM safety and security → Watermarking generated content and models
  47. Upside-Down Reinforcement Learning for More Interpretable Optimal ControlDeep reinforcement learning methods → Deep RL algorithms and representations
  48. GLDesigner: Leveraging Multi-Modal LLMs as Designer for Enhanced Aesthetic Text Glyph LayoutsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  49. CLUE-MARK: Watermarking Diffusion Models using CLWEDiffusion models → Robustness, privacy and adversarial aspects +1
  50. Membership Inference Attack against Long-Context Large Language ModelsLLM safety and security → Membership inference attacks
  51. The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language ModelsLLM safety and security → Jailbreaking
  52. Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded PlatformsOffline RL and imitation learning from data → Robot manipulation imitation learning
  53. InstruGen: Automatic Instruction Generation for Vision-and-Language Navigation Via Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  54. Rethinking Thinking Tokens: Understanding Why They Underperform in PracticeLLM reasoning → Test-time compute and efficient thinking
  55. Continual Task Learning through Adaptive Policy Self-CompositionOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  56. MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  57. Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial FrameDiffusion models → Video generation
  58. Enhancing Decision Transformer with Diffusion-Based Trajectory Branch GenerationDiffusion models → Diffusion and flow policies for robotics +2
  59. SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language ModelsRetrieval-augmented generation → Agentic RAG, agents and memory
  60. Syllabus: Portable Curricula for Reinforcement Learning AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
  61. A Review on Machine UnlearningLLM safety and security → Machine unlearning
  62. Steering Language Model Refusal with Sparse AutoencodersMechanistic interpretability → Steering and probing for LLM safety
  63. MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion AnalysisMultimodal LLMs / vision-language models → Multimodal emotion understanding
  64. Efficient Transfer Learning for Video-language Foundation ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  65. MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUsMixture-of-experts → Efficient MoE training and inference systems
  66. Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models
  67. Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life
  68. Towards a Practical Ethics of Generative AI in Creative Production Processes
  69. PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
  70. OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising
  71. Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice
  72. Pre-Deployment Information Sharing: A Zoning Taxonomy for Precursory Capabilities
  73. Zonal Architecture Development with evolution of Artificial Intelligence
  74. Spatial-variant causal Bayesian inference for rapid seismic ground failures and impacts estimation
  75. Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations
  76. Generative AI on the Edge: Architecture and Performance Evaluation
  77. Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset
  78. Random Forest-Supervised Manifold Alignment
  79. Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
  80. ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?
  81. Attention-guided Spectrogram Sequence Modeling with CNNs for Music Genre Classification
  82. Large Language Model for Qualitative Research -- A Systematic Mapping Study
  83. Exploring the Potential Role of Generative AI in the TRAPD Procedure for Survey Translation
  84. Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes
  85. Popular LLMs Amplify Race and Gender Disparities in Human Mobility
  86. A Neural Network Training Method Based on Distributed PID Control
  87. Towards Scalable Insect Monitoring: Ultra-Lightweight CNNs as On-Device Triggers for Insect Camera Traps
  88. Learning to Ask: Conversational Product Search via Representation Learning
  89. JESTR: Joint Embedding Space Technique for Ranking Candidate Molecules for the Annotation of Untargeted Metabolomics Data
  90. Enhancing Bidirectional Sign Language Communication: Integrating YOLOv8 and NLP for Real-Time Gesture Recognition & Translation
  91. Towards Accessible Learning: Deep Learning-Based Potential Dysgraphia Detection and OCR for Potentially Dysgraphic Handwriting
  92. High resolution microprice estimates from limit orderbook data using hyperdimensional vector Tsetlin Machines
  93. A Novel Speech Analysis and Correction Tool for Arabic-Speaking Children
  94. Deep learning waterways for rural infrastructure development
  95. Advance Detection Of Bull And Bear Phases In Cryptocurrency Markets
  96. Exploring Eye Tracking to Detect Cognitive Load in Complex Virtual Reality Training
  97. Suicide Risk Assessment on Social Media with Semi-Supervised Learning
  98. Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning
  99. The Role of Accuracy and Validation Effectiveness in Conversational Business Analytics
  100. Fine-Grained Uncertainty Quantification via Collisions
All 295
  1. MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT
  2. Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers
  3. Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning
  4. BALI: Learning Neural Networks via Bayesian Layerwise Inference
  5. Federated Contrastive Learning of Graph-Level Representations
  6. FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting
  7. Molecule Generation with Fragment Retrieval Augmentation
  8. Mitigating Gender Bias in Contextual Word Embeddings
  9. Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
  10. The Statistical Accuracy of Neural Posterior and Likelihood Estimation
  11. TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model
  12. Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features
  13. Benchmarking pre-trained text embedding models in aligning built asset information
  14. HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling
  15. Fingerprinting and Tracing Shadows: The Development and Impact of Browser Fingerprinting on Digital Privacy
  16. Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster
  17. Prediction-Guided Active Experiments
  18. Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization
  19. The Method of Gaps: Exact Expressions for the Generalization Error of Supervised Learning Algorithms
  20. On the Efficiency of ERM in Feature Learning
  21. In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers
  22. Neural and Time-Series Approaches for Pricing Weather Derivatives: Performance and Regime Adaptation Using Satellite Data
  23. SynCoTrain: A Dual Classifier PU-learning Framework for Synthesizability Prediction
  24. Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space
  25. Compression of Higher Order Ambisonics with Multichannel RVQGAN
  26. Analyzing and Improving the Skin Tone Consistency and Bias in Implicit 3D Relightable Face Generators
  27. ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity
  28. Transmission Line Outage Probability Prediction Under Extreme Events Using Peter-Clark Bayesian Structural Learning
  29. Coverage-Constrained Human-AI Cooperation with Multiple Experts
  30. Variable Rate Neural Compression for Sparse Detector Data
  31. TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction
  32. Introducing Milabench: Benchmarking Accelerators for AI
  33. Newclid: A User-Friendly Replacement for AlphaGeometry
  34. Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation
  35. SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
  36. METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth
  37. Unveiling and Addressing Pseudo Forgetting in Large Language Models
  38. FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training
  39. Dataset Distillers Are Good Label Denoisers In the Wild
  40. SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
  41. Artificial Intelligence Mangrove Monitoring System Based on Deep Learning and Sentinel-2 Satellite Data in the UAE (2017-2024)
  42. FCC: Fully Connected Correlation for One-Shot Segmentation
  43. Phenome-wide causal proteomics enhance systemic lupus erythematosus flare prediction: A study in Asian populations
  44. UniHands: Unifying Various Wild-Collected Keypoints for Personalized Hand Reconstruction
  45. Generative World Explorer
  46. RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator
  47. Pairwise Markov Chains for Volatility Forecasting
  48. Tackling prediction tasks in relational databases with LLMs
  49. LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection
  50. Theoretical Foundations of Conformal Prediction
  51. Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
  52. KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems
  53. Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion
  54. Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods
  55. Competing Bandits in Decentralized Contextual Matching Markets
  56. Nonlinear Equilibrium Transitions in a Potential Game Model for Federated Learning
  57. Parallelly Tempered Generative Adversarial Nets: Toward Stabilized Gradients
  58. LLM-IE: A Python Package for Generative Information Extraction with Large Language Models
  59. Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care
  60. CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters
  61. AdaptLIL: A Gaze-Adaptive Visualization for Ontology Mapping
  62. Drowning in Documents: Consequences of Scaling Reranker Inference
  63. Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
  64. Debiased Regression for Root-N-Consistent Conditional Mean Estimation
  65. BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
  66. Revitalizing Electoral Trust: Enhancing Transparency and Efficiency through Automated Voter Counting with Machine Learning
  67. QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou
  68. WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images
  69. Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking
  70. Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment
  71. Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs
  72. Semantic-Geometric-Physical-Driven Robot Manipulation Skill Transfer via Skill Library and Tactile Representation
  73. FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning
  74. Federated Co-tuning Framework for Large and Small Language Models
  75. From Spectra to Geography: Intelligent Mapping of RRUFF Mineral Data
  76. Towards Degradation-Robust Reconstruction in Generalizable NeRF
  77. Learning Differentiable Surrogate Losses for Structured Prediction
  78. Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition
  79. Few-shot Model Extraction Attacks against Sequential Recommender Systems
  80. Artificial Scientific Discovery
  81. Efficient and Robust Continual Graph Learning for Graph Classification in Biology
  82. Dissecting Representation Misalignment in Contrastive Learning via Influence Function
  83. TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
  84. SP 3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation
  85. Chapter 7 Review of Data-Driven Generative AI Models for Knowledge Extraction from Scientific Literature in Healthcare
  86. ST-Tree with Interpretability for Multivariate Time Series Classification
  87. FERT: Real-Time Facial Expression Recognition with Short-Range FMCW Radar
  88. Signaling and Social Learning in Swarms of Robots
  89. On the physics of nested Markov models: a generalized probabilistic theory perspective
  90. Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining
  91. Feature Selection for Network Intrusion Detection
  92. Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
  93. Robust Causal Analysis of Linear Cyclic Systems With Hidden Confounders
  94. OASIS: Open Agent Social Interaction Simulations with One Million Agents
  95. Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction
  96. GNN-Based Code Annotation Logic for Establishing Security Boundaries in C Code
  97. MSSIDD: A Benchmark for Multi-Sensor Denoising
  98. Topology-aware Preemptive Scheduling for Co-located LLM Workloads
  99. Data-driven model reconstruction for nonlinear wave dynamics
  100. Real-Time Fitness Exercise Classification and Counting from Video Frames
  101. Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure
  102. Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality
  103. SeqProFT: Sequence-only Protein Property Prediction with LoRA Finetuning
  104. Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization
  105. Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions
  106. A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents
  107. Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information
  108. Learning a Neural Association Network for Self-supervised Multi-Object Tracking
  109. A Modular Open Source Framework for Genomic Variant Calling
  110. Closed-loop multi-step planning with innate physics knowledge
  111. SignEye: Traffic Sign Interpretation from Vehicle First-Person View
  112. Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  113. Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin Models
  114. Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art
  115. Look a Group at Once: Multi-Slide Modeling for Survival Prediction
  116. Exploring Emerging Trends and Research Opportunities in Visual Place Recognition
  117. SL-YOLO: A Stronger and Lighter Drone Target Detection Model
  118. MVLight: Relightable Text-to-3D Generation via Light-conditioned Multi-View Diffusion
  119. Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine
  120. Generalizable Person Re-identification via Balancing Alignment and Uniformity
  121. Integrating Physics and Topology in Neural Networks for Learning Rigid Body Dynamics
  122. MGNiceNet: Unified Monocular Geometric Scene Understanding
  123. Re-examining learning linear functions in context
  124. Parallel Network Reconstruction with Multi-directional Regularization
  125. HistoEncoder: a digital pathology foundation model for prostate cancer
  126. The ADUULM-360 Dataset -- A Multi-Modal Dataset for Depth Estimation in Adverse Weather
  127. Relevance-guided Audio Visual Fusion for Video Saliency Prediction
  128. Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet
  129. Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
  130. Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing
  131. Implicit Regularization for Multi-label Feature Selection
  132. Enabling DBSCAN for Very Large-Scale High-Dimensional Spaces
  133. Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines
  134. IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos
  135. Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions
  136. Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection
  137. The GECo algorithm for Graph Neural Networks Explanation
  138. Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
  139. Graph Neural Networks on Graph Databases
  140. LeC2O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes
  141. Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining
  142. GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views
  143. Scalable Autoregressive Monocular Depth Estimation
  144. CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset
  145. Text-guided Zero-Shot Object Localization
  146. Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data
  147. A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond
  148. Visual-Semantic Graph Matching Net for Zero-Shot Learning
  149. Zero and Few Shot Load Forecasting with Large Language Models
  150. Modeling Multivariable High-resolution 3D Urban Microclimate Using Localized Fourier Neural Operator
  151. Mitigating Knowledge Conflicts in Language Model-Driven Question Answering
  152. A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors
  153. Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition
  154. Color-Oriented Redundancy Reduction in Dataset Distillation
  155. Cuvis.Ai: An Open-Source, Low-Code Software Ecosystem for Hyperspectral Processing and Classification
  156. Study of the Performance of CEEMDAN in Underdetermined Speech Separation
  157. TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation
  158. Personalized One-shot Federated Graph Learning for Heterogeneous Clients
  159. Recurrent Stochastic Configuration Networks with Incremental Blocks
  160. Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms
  161. Accelerating spherical K-means clustering for large-scale sparse document data
  162. Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation
  163. AnomalyAID: Reliable Interpretation for Semi-supervised Network Anomaly Detection
  164. Performance Evaluation of Geospatial Images based on Zarr and Tiff
  165. LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models
  166. Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition
  167. Reducing Label Dependency for Underwater Scene Understanding: A Survey of Datasets, Techniques and Applications
  168. Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
  169. Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs
  170. Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
  171. Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
  172. Towards Open-Vocabulary Audio-Visual Event Localization
  173. Coupled Integral PINN for Discontinuity
  174. Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting
  175. ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
  176. VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs
  177. GROOT: Effective Design of Biological Sequences with Limited Experimental Data
  178. Cross-Patient Pseudo Bags Generation and Curriculum Contrastive Learning for Imbalanced Multiclassification of Whole Slide Image
  179. Large corpora and large language models: a replicable method for automating grammatical annotation
  180. Graph Retention Networks for Dynamic Graphs
  181. Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation
  182. Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection
  183. DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation
  184. EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
  185. ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification
  186. Mirror Descent on Reproducing Kernel Banach Spaces
  187. Reliable Learning of Halfspaces under Gaussian Marginals
  188. Noise Filtering Benchmark for Neuromorphic Satellites Observations
  189. BeautyBank: Encoding Facial Makeup in Latent Space
  190. Don't Be So Positive: Negative Step Sizes in Second-Order Methods
  191. The Sound of Water: Inferring Physical Properties from Pouring Liquids
  192. Data Driven Automatic Electrical Machine Preliminary Design with Artificial Intelligence Expert Guidance
  193. Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition
  194. DeforHMR: Vision Transformer with Deformable Cross-Attention for 3D Human Mesh Recovery
  195. Making Sigmoid-MSE Great Again: Output Reset Challenges Softmax Cross-Entropy in Neural Network Classification