mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 24 Jan 2025

261 papers

  1. OpenAI's Approach to External Red Teaming for AI Models and SystemsLLM safety and security → Prompt injection and agent security
  2. Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology ControlDeep reinforcement learning methods → RL for energy, networks and operations
  3. DarkMind: Latent Chain-of-Thought Backdoor in Customized LLMsLLM reasoning → Reasoning for agents, planning and code +1
  4. GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction ExplorationRetrieval-augmented generation → Medical and biomedical RAG
  5. Internal Activation Revision: Safeguarding Vision Language Models Without Parameter UpdateMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  6. CASE-Bench: Context-Aware SafEty Benchmark for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  7. Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter DecompositionMechanistic interpretability → Circuits and mechanistic analysis
  8. Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote SensingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  9. Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
  10. DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math ImagesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  11. Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from ObservationOffline RL and imitation learning from data → Imitation learning methods
  12. JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  13. HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and GenerationWorld models → World models for autonomous driving +1
  14. CodeMonkeys: Scaling Test-Time Compute for Software EngineeringLLM reasoning → Reasoning for agents, planning and code
  15. The Karp DatasetLLM reasoning → Mathematical reasoning
  16. An Attentive Graph Agent for Topology-Adaptive Cyber DefenceDeep reinforcement learning methods → Adversarial robustness and RL in finance
  17. Rethinking Table Instruction TuningLLM reasoning → Knowledge- and tool-augmented reasoning
  18. Diffusion based Text-to-Music Generation with Global and Local Text based ConditioningDiffusion models → Audio, speech and music
  19. Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold RepresentationState-space sequence models (S4, Mamba) → Vision Mamba backbones
  20. Mean-field limit from general mixtures of experts to quantum neural networksMixture-of-experts → MoE theory and gating functions
  21. MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM AgentsLLM agents and tool use → Medical and scientific domain agents
  22. ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation LearningWorld models → Latent predictive world models +1
  23. Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV NetworksDeep reinforcement learning methods → RL for robot navigation and UAV control
  24. Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models
  25. Reducing Action Space for Deep Reinforcement Learning via Causal Effect EstimationDeep reinforcement learning methods → Deep RL algorithms and representations
  26. VERUS-LM: a Versatile Framework for Combining LLMs with Symbolic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  27. Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable DiffusionDiffusion models → Image generation, text-to-image and editing
  28. RealCritic: Towards Effectiveness-Driven Evaluation of Language Model CritiquesLLM reasoning → Test-time compute and efficient thinking
  29. MARL-OT: Multi-Agent Reinforcement Learning Guided Online Fuzzing to Detect Safety Violation in Autonomous Driving SystemsEnd-to-end autonomous driving → Reinforcement learning for driving
  30. Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agentDeep reinforcement learning methods → Safe and constrained RL
  31. Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes DomainsLLM reasoning → Reasoning benchmarks and evaluation
  32. SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
  33. Reinforcement Learning for Efficient Returns ManagementDeep reinforcement learning methods → RL for energy, networks and operations
  34. Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone FlightDeep reinforcement learning methods → RL for robot navigation and UAV control
  35. Fat-to-Thin Policy Optimization: Offline RL with Sparse PoliciesOffline RL and imitation learning from data → Offline RL algorithms
  36. Chain-of-Retrieval Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  37. Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token LearningSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  38. Locality-aware Fair Scheduling in LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
  39. MASTER: A Multi-Agent System with LLM Specialized MCTSLLM agents and tool use → General LLM agent frameworks and benchmarks
  40. Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphLLM reasoning → Knowledge- and tool-augmented reasoning +1
  41. Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political StereotypesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  42. Global Semantic-Guided Sub-image Feature Weight Allocation in High-Resolution Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  43. Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant EvaluationLLM reasoning → Mathematical reasoning
  44. Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential RecommendationMixture-of-experts → MoE for recommender systems
  45. CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded ImageDiffusion models → Inverse problems and image restoration
  46. Siren: A Learning-Based Multi-Turn Attack Framework for Simulating Real-World Human Jailbreak BehaviorsLLM safety and security → Jailbreaking
  47. Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language GameLLM agents and tool use → Reinforcement learning for LLM agents
  48. Top Ten Challenges Towards Agentic Neural Graph DatabasesLLM agents and tool use → Web, search, and research agents
  49. TFG-Flow: Training-free Guidance in Multimodal Generative FlowDiffusion models → Flow matching, time series and science
  50. Dynamic Token Reduction during Generation for Vision Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  51. Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning FrameworkOffline RL and imitation learning from data → Imitation and offline RL for driving
  52. Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI ImagesMixture-of-experts → Medical and biomedical MoE
  53. VideoShield: Regulating Diffusion-based Video Generation Models via WatermarkingDiffusion models → Robustness, privacy and adversarial aspects +1
  54. Distributed Multi-Agent Coordination Using Multi-Modal Foundation ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  55. AI Chatbots as Professional Service Agents: Developing a Professional IdentityLLM agents and tool use → Medical and scientific domain agents
  56. RL + Transformer = A General-Purpose Problem SolverDeep reinforcement learning methods → Deep RL algorithms and representations
  57. Dreamweaver: Learning Compositional World Models from PixelsWorld models → Video-generation world models and simulators
  58. Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language ModelsLLM agents and tool use → Software engineering coding agents
  59. SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  60. Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust
  61. Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony
  62. Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making
  63. Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI
  64. Personalizing Education through an Adaptive LMS with Integrated LLMs
  65. STAMP: Scalable Task And Model-agnostic Collaborative Perception
  66. Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis
  67. Deeply Optimizing the SAT Solver for the IC3 Algorithm
  68. Tuning LLM Judge Design Decisions for 1/1000 of the Cost
  69. Prompt-Based Cost-Effective Evaluation and Operation of ChatGPT as a Computer Programming Teaching Assistant
  70. Reduced-order modeling and classification of hydrodynamic pattern formation in gravure printing
  71. UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis
  72. FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
  73. Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation
  74. SwiftPrune: Hessian-Free Weight Pruning for Large Language Models
  75. Advances in Set Function Learning: A Survey of Techniques and Applications
  76. DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment
  77. The Muddy Waters of Modeling Empathy in Language: The Practical Impacts of Theoretical Constructs
  78. A Deep State Space Model for Rainfall-Runoff Simulations
  79. A review of annotation classification tools in the educational domain
  80. Private Minimum Hellinger Distance Estimation via Hellinger Distance Differential Privacy
  81. AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
  82. Personalized Layer Selection for Graph Neural Networks
  83. LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration
  84. Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
  85. ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation
  86. MISCON: A Mission-Driven Conversational Consultant for Pre-Venture Entrepreneurs in Food Deserts
  87. E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions
  88. MATCHA:Towards Matching Anything
  89. Force-Based Robotic Imitation Learning: A Two-Phase Approach for Construction Assembly Tasks
  90. Principal Graph Encoder Embedding and Principal Community Detection
  91. Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing
  92. Temporal Binding Foundation Model for Material Property Recognition via Tactile Sequence Perception
  93. Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
  94. Explaining Categorical Feature Interactions Using Graph Covariance and LLMs
  95. Motion-enhanced Cardiac Anatomy Segmentation via an Insertable Temporal Attention Module
  96. Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
  97. 3D/2D Registration of Angiograms using Silhouette-based Differentiable Rendering
  98. Self-reflecting Large Language Models: A Hegelian Dialectical Approach
  99. Light3R-SfM: Towards Feed-forward Structure-from-Motion
  100. Feasible Learning
All 261
  1. Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
  2. Enhancing accuracy of uncertainty estimation in appearance-based gaze tracking with probabilistic evaluation and calibration
  3. Iterative Feature Space Optimization through Incremental Adaptive Evaluation
  4. Hybrid Interpretable Deep Learning Framework for Skin Cancer Diagnosis: Integrating Radial Basis Function Networks with Explainable AI
  5. Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics
  6. Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models
  7. On the locality bias and results in the Long Range Arena
  8. Wormhole Memory: A Rubik's Cube for Cross-Dialogue Retrieval
  9. Unmasking Conversational Bias in AI Multiagent Systems
  10. Mitigating GenAI-Powered Evidence Pollution for Out-Of-Context Misinformation Detection
  11. Relightable Full-Body Gaussian Codec Avatars
  12. MLPs at the EOC: Concentration of the NTK
  13. Comparable Corpora: Opportunities for New Research Directions
  14. Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
  15. What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects
  16. FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
  17. Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective
  18. Enhanced Confocal Laser Scanning Microscopy with Adaptive Physics Informed Deep Autoencoders
  19. Decision-Focused Learning for Complex System Identification: HVAC Management System Application
  20. Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data
  21. An Unsupervised Natural Language Processing Pipeline for Assessing Referral Appropriateness
  22. Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments
  23. Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
  24. Approach to Designing CV Systems for Medical Applications: Data, Architecture and AI
  25. Decoding Generalization from Memorization in Deep Neural Networks
  26. Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST
  27. A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model
  28. MatAnyone: Stable Video Matting with Consistent Memory Propagation
  29. State Space Models for Extractive Summarization in Low Resource Scenarios
  30. End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml
  31. Neural-Symbolic Message Passing with Dynamic Pruning
  32. GUSLO: General and Unified Structured Light Optimization
  33. Federated Domain Generalization with Data-free On-server Matching Gradient
  34. Decoupled SGDA for Games with Intermittent Strategy Communication
  35. Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion
  36. SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation
  37. Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise
  38. Towards Scalable Topological Regularizers
  39. A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization
  40. Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization
  41. Recommending Actionable Strategies: A Semantic Approach to Integrating Analytical Frameworks with Decision Heuristics
  42. Extracting Problem Structure with LLMs for Optimized SAT Local Search
  43. Accelerated Preference Elicitation with LLM-Based Proxies
  44. Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives
  45. Integration of Calcium Imaging Traces via Deep Generative Modeling
  46. Leveraging Spatial Cues from Cochlear Implant Microphones to Efficiently Enhance Speech Separation in Real-World Listening Scenes
  47. ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
  48. 3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving
  49. Inverse Evolution Data Augmentation for Neural PDE Solvers
  50. Geometric Mean Improves Loss For Few-Shot Learning
  51. Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net
  52. Data Assetization via Resources-decoupled Federated Learning
  53. Visual Localization via Semantic Structures in Autonomous Photovoltaic Power Plant Inspection
  54. ZETA: Leveraging Z-order Curves for Efficient Top-k Attention
  55. coverforest: Conformal Predictions with Random Forest in Python
  56. Hybrid Quantum-Classical Multi-Agent Pathfinding
  57. Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
  58. Leveraging ChatGPT's Multimodal Vision Capabilities to Rank Satellite Images by Poverty Level: Advancing Tools for Social Science Research
  59. Distributed Conformal Prediction via Message Passing
  60. IP2-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
  61. Rethinking Encoder-Decoder Flow Through Shared Structures
  62. Trick-GS: A Balanced Bag of Tricks for Efficient Gaussian Splatting
  63. CheapNVS: Real-Time On-Device Narrow-Baseline Novel View Synthesis
  64. On Hardening DNNs against Noisy Computations
  65. Idiom Detection in Sorani Kurdish Texts
  66. Scene Understanding Enabled Semantic Communication with Open Channel Coding
  67. PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI
  68. ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
  69. Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data
  70. WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages
  71. LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
  72. Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course
  73. Evaluating and Improving Graph to Text Generation with Large Language Models
  74. A Note on Implementation Errors in Recent Adaptive Attacks Against Multi-Resolution Self-Ensembles
  75. BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference
  76. Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter
  77. Registration of Longitudinal Liver Examinations for Tumor Progress Assessment
  78. The Pseudo-Dimension of Contracts
  79. Pesti-Gen: Unleashing a Generative Molecule Approach for Toxicity Aware Pesticide Design
  80. MLMC: Interactive multi-label multi-classifier evaluation without confusion matrices
  81. Interpretability Analysis of Domain Adapted Dense Retrievers
  82. A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization
  83. Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
  84. Triple Path Enhanced Neural Architecture Search for Multimodal Fake News Detection
  85. Optimal Strategies for Federated Learning Maintaining Client Privacy
  86. Impact of Batch Normalization on Convolutional Network Representations
  87. Convergence of gradient based training for linear Graph Neural Networks
  88. Optimizing Human Pose Estimation Through Focused Human and Joint Regions
  89. Data-efficient Performance Modeling via Pre-training
  90. Remining Hard Negatives for Generative Pseudo Labeled Domain Adaptation
  91. Statistical Verification of Linear Classifiers
  92. GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better
  93. CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios
  94. SoK: What Makes Private Learning Unfair?
  95. Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images
  96. Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models
  97. Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations
  98. Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
  99. Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion
  100. Distinguishing Parkinson's Patients Using Voice-Based Feature Extraction and Classification
  101. ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer
  102. DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
  103. Low-rank Prompt Interaction for Continual Vision-Language Retrieval
  104. In System Alignments we Trust! Explainable Alignments via Projections
  105. Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
  106. Facies Classification with Copula Entropy
  107. Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound
  108. HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks
  109. Correlation-Based Band Selection for Hyperspectral Image Classification
  110. Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts
  111. Automatic detection and prediction of nAMD activity change in retinal OCT using Siamese networks and Wasserstein Distance for ordinality
  112. Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination
  113. Domain Expansion: Parameter-Efficient Modules as Building Blocks for Composite Domains
  114. Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video
  115. Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
  116. T-Stars-Poster: A Framework for Product-Centric Advertising Image Design
  117. Graph Feedback Bandits on Similar Arms: With and Without Graph Structures
  118. An Efficient Real Time DDoS Detection Model Using Machine Learning Algorithms
  119. Permutation-based multi-objective evolutionary feature selection for high-dimensional data
  120. BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
  121. Learning Primitive Relations for Compositional Zero-Shot Learning
  122. Additive Manufacturing Processes Protocol Prediction by Artificial Intelligence using X-ray Computed Tomography data
  123. A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education
  124. TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection
  125. Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches
  126. A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques
  127. Snapshot multi-spectral imaging through defocusing and a Fourier imager network
  128. Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays
  129. Active Learning for Continual Learning: Keeping the Past Alive in the Present
  130. Dense-SfM: Structure from Motion with Dense Consistent Matching
  131. TLXML: Task-Level Explanation of Meta-Learning via Influence Functions
  132. Pre-train and Fine-tune: Recommenders as Large Models
  133. TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
  134. Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement
  135. DKT2: Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale Data
  136. Distributionally Robust Coreset Selection under Covariate Shift
  137. Humanity's Last Exam
  138. Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition
  139. Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding
  140. A Data-driven Dynamic Temporal Correlation Modeling Framework for Renewable Energy Scenario Generation
  141. Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images
  142. GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm
  143. Detection and Classification of Acute Lymphoblastic Leukemia Utilizing Deep Transfer Learning
  144. When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach
  145. PuzzleGPT: Emulating Human Puzzle-Solving Ability for Time and Location Prediction
  146. You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations
  147. Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity
  148. ENTER: Event Based Interpretable Reasoning for VideoQA
  149. High-Precision Fabric Defect Detection via Adaptive Shape Convolutions and Large Kernel Spatial Modeling
  150. VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
  151. Single-weight Model Editing for Post-hoc Spurious Correlation Neutralization
  152. Cybersecurity Assessment of Smart Grid Exposure Using a Machine Learning Based Approach
  153. UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devices
  154. Fully Guided Neural Schr"odinger bridge for Brain MR image synthesis
  155. Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation
  156. LoCoML: A Framework for Real-World ML Inference Pipelines
  157. Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration
  158. Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
  159. Multimodal Prescriptive Deep Learning
  160. Effective Defect Detection Using Instance Segmentation for NDI
  161. Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction