mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 9 Sep 2024

267 papers

  1. HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at ScaleLLM agents and tool use → Software engineering coding agents
  2. BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence DesignDiffusion models → Flow matching, time series and science +1
  3. Revisiting the Solution of Meta KDD Cup 2024: CRAGRetrieval-augmented generation → RAG pipeline design and evaluation
  4. Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
  5. Latent Diffusion Bridges for Unsupervised Musical Audio Timbre TransferDiffusion models → Audio, speech and music
  6. SVS-GAN: Leveraging GANs for Semantic Video SynthesisDiffusion models → Diffusion foundations and sampling
  7. MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  8. DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationDiffusion models → Image generation, text-to-image and editing
  9. Mathematical Formalized Problem Solving and Theorem Proving in Different Fields in Lean 4LLM reasoning → Mathematical reasoning
  10. CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty QuantificationDiffusion models → Flow matching, time series and science
  11. M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive ArchitectureMixture-of-experts → Multimodal MoE models
  12. An Introduction to Quantum Reinforcement Learning (QRL)Deep reinforcement learning methods → Quantum reinforcement learning
  13. MMEvol: Empowering Multimodal Large Language Models with Evol-InstructMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  14. Learning control of underactuated double pendulum with Model-Based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  15. Vector Quantized Diffusion Model Based Speech Bandwidth ExtensionDiffusion models → Audio, speech and music
  16. Markov Chain Variance Estimation: A Stochastic Approximation ApproachDeep reinforcement learning methods → RL theory and sample complexity
  17. pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated LearningDiffusion models → Robustness, privacy and adversarial aspects
  18. Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  19. Interactive incremental learning of generalizable skills with local trajectory modulationOffline RL and imitation learning from data → Robot manipulation imitation learning
  20. Forward KL Regularized Preference Optimization for Aligning Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics +1
  21. Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly DetectionMixture-of-experts → Vision mixture-of-experts
  22. MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval AugmentationRetrieval-augmented generation → Generation and context integration
  23. DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction IdentificationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  24. IFAR: Multi-Perspective and Multi-Level Causal Discovery with LLMsLLM reasoning → Reasoning benchmarks and evaluation
  25. SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
  26. Harmonic Reasoning in Large Language ModelsLLM reasoning → Audio-language model reasoning
  27. Enhancing Critical Thinking in Education by means of a Socratic ChatbotLLM reasoning → Reasoning benchmarks and evaluation
  28. Reinforcement Learning for Variational Quantum Circuits DesignDeep reinforcement learning methods → Quantum reinforcement learning
  29. DriveScape: Towards High-Resolution Controllable Multi-View Driving Video GenerationWorld models → World models for autonomous driving +1
  30. Semifactual Explanations for Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
  31. State-Novelty Guided Action Persistence in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  32. CipherDM: Secure Three-Party Inference for Diffusion Model SamplingDiffusion models → Robustness, privacy and adversarial aspects
  33. From Words to Poses: Enhancing Novel Object Pose Estimation with Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  34. Sequential Posterior Sampling with Diffusion ModelsDiffusion models → Medical imaging and segmentation
  35. Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language ModelingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  36. Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image RecognitionKnowledge distillation → General knowledge distillation methods
  37. Few-Shot Image Quality Assessment via Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
  38. KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language ModelsLLM reasoning → Clinical and biomedical applications
  39. STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and BeyondLLM reasoning → Knowledge- and tool-augmented reasoning
  40. FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID DataKnowledge distillation → Federated, robust and private distillation
  41. BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward ShapingDeep reinforcement learning methods → Deep RL algorithms and representations
  42. GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  43. TERD: A Unified Framework for Safeguarding Diffusion Models Against BackdoorsDiffusion models → Robustness, privacy and adversarial aspects +1
  44. Towards Fast Rates for Federated and Multi-Task Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  45. Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle NudgingOffline RL and imitation learning from data → Imitation and offline RL for driving +1
  46. Seek and Solve Reasoning for Table Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  47. On the Relationship between Truth and Political Bias in Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  48. LiDAR-3DGS: LiDAR Reinforced 3D Gaussian Splatting for Multimodal Radiance Field Rendering
  49. Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget
  50. Recall: Empowering Multimodal Embedding for Edge Devices
  51. StructuReiser: A Structure-preserving Video Stylization Method
  52. Explainable AI: Definition and attributes of a good explanation for health AI
  53. Combating Spatial Disorientation in a Dynamic Self-Stabilization Task Using AI Assistants
  54. Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts
  55. Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records
  56. Multilingual Dyadic Interaction Corpus NoXi+J: Toward Understanding Asian-European Non-verbal Cultural Characteristics and their Influences on Engagement
  57. Identity-related Speech Suppression in Generative AI Content Moderation
  58. Logically Consistent Language Models via Neuro-Symbolic Integration
  59. Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges
  60. LegiLM: A Fine-Tuned Legal Language Model for Data Compliance
  61. The Unseen AI Disruptions for Power Grids: LLM-Induced Transients
  62. Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
  63. Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks
  64. Joint Model Assignment and Resource Allocation for Cost-Effective Mobile Generative Services
  65. OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
  66. Validation of Practicality for CSI Sensing Utilizing Machine Learning
  67. Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
  68. Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review
  69. UAVDB: Point-Guided Masks for UAV Detection and Segmentation
  70. NeIn: Telling What You Don't Want
  71. Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
  72. Estimating the Completeness of Discrete Speech Units
  73. Doppelg"anger's Watch: A Split Objective Approach to Large Language Models
  74. SGC-VQGAN: Towards Complex Scene Representation via Semantic Guided Clustering Codebook
  75. LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo
  76. Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs
  77. ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog
  78. Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
  79. Differentiable programming across the PDE and Machine Learning barrier
  80. Symmetry constrained neural networks for detection and localization of damage in metal plates
  81. Regression with Large Language Models for Materials and Molecular Property Prediction
  82. MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
  83. DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection
  84. Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research
  85. Statistical Mechanics of Min-Max Problems
  86. Identifying the sources of ideological bias in GPT models through linguistic variation in output
  87. Online 3D reconstruction and dense tracking in endoscopic videos
  88. Analyzing Tumors by Synthesis
  89. Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features
  90. NESI: Shape Representation via Neural Explicit Surface Intersection
  91. SongCreator: Lyrics-based Universal Song Generation
  92. Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement
  93. Deep Generative Model for Mechanical System Configuration Design
  94. Improved Visually Prompted Keyword Localisation in Real Low-Resource Settings
  95. Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance
  96. TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks
  97. Adapting to Shifting Correlations with Unlabeled Data Calibration
  98. MessIRve: A Large-Scale Spanish Information Retrieval Dataset
  99. FairHome: A Fair Housing and Fair Lending Dataset
  100. A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data
All 267
  1. Advance and Refinement: The Evolution of UAV Detection and Classification Technologies
  2. Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion
  3. Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting
  4. FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
  5. A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets
  6. DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning
  7. Hierarchical novel class discovery for single-cell transcriptomic profiles
  8. Predicting Electricity Consumption with Random Walks on Gaussian Processes
  9. Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks
  10. Machine Learning Based Optimal Design of Fibrillar Adhesives
  11. SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values
  12. Assessing SPARQL capabilities of Large Language Models
  13. mathbbUSCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding
  14. Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering
  15. Are Hourly PM2.5 Forecasts Sufficiently Accurate to Plan Your Day? Individual Decision Making in the Face of Increasing Wildfire Smoke
  16. Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
  17. Neural MP: A Generalist Neural Motion Planner
  18. Promptable Closed-loop Traffic Simulation
  19. Evaluating Multiview Object Consistency in Humans and Image Models
  20. LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
  21. Vision-Driven 2D Supervised Fine-Tuning Framework for Bird's Eye View Perception
  22. Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks
  23. GASP: Gaussian Splatting for Physic-Based Simulations
  24. VFA: Vision Frequency Analysis of Foundation Models and Human
  25. Improving Pretraining Data Using Perplexity Correlations
  26. OmniLens: Towards Universal Lens Aberration Correction via LensLib-to-Specific Domain Adaptation
  27. The Future of Software Testing: AI-Powered Test Case Generation and Validation
  28. CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
  29. Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling
  30. Input Space Mode Connectivity in Deep Neural Networks
  31. PDAF: A Phonetic Debiasing Attention Framework For Speaker Verification
  32. Enhancing Preference-based Linear Bandits via Human Response Time
  33. Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
  34. Leveraging Object Priors for Point Tracking
  35. NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
  36. Unified Neural Network Scaling Laws and Scale-time Equivalence
  37. Breaking Neural Network Scaling Laws with Modularity
  38. Advanced LSTM Neural Networks for Predicting Directional Changes in Sector-Specific ETFs Using Machine Learning Techniques
  39. Creativity and Visual Communication from Machine to Musician: Sharing a Score through a Robotic Camera
  40. Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models
  41. Consensus-based Distributed Quantum Kernel Learning for Speech Recognition
  42. Revealing the Pitfalls and Re-Evaluating the Advancement of Heterophilic Graph Learning
  43. ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL
  44. A Novel Idea Generation Tool using a Structured Conversational AI (CAI) System
  45. LLMs Will Always Hallucinate, and We Need to Live With This
  46. Robust Loss Functions for Object Grasping under Limited Ground Truth
  47. A System and Benchmark for LLM-based Q&A on Heterogeneous Data
  48. Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning Approach
  49. What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence
  50. Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding
  51. Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
  52. Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labeling
  53. MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
  54. Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features
  55. Extracting the U.S. building types from OpenStreetMap data
  56. LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow
  57. SX-Stitch: An Efficient VMS-UNet Based Framework for Intraoperative Scoliosis X-Ray Image Stitching
  58. Cherenkov Imaged Bio-morphological Features Verify Patient Positioning with Deformable Tissue Translocation in Breast Radiotherapy
  59. AnomalyCD: A benchmark for Earth anomaly change detection with high-resolution and time-series observations
  60. RIRAG: Regulatory Information Retrieval and Answer Generation
  61. Assessing Latency in ASR Systems: A Methodological Perspective for Real-Time Use
  62. FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection
  63. Robust Real-time Segmentation of Bio-Morphological Features in Human Cherenkov Imaging during Radiotherapy via Deep Learning
  64. K-Fold Causal BART for CATE Estimation
  65. Real-Time Human Action Recognition on Embedded Platforms
  66. Adversarial Attacks on Data Attribution
  67. WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case
  68. Replay Consolidation with Label Propagation for Continual Object Detection
  69. Prototype-Driven Multi-Feature Generation for Visible-Infrared Person Re-identification
  70. 3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation
  71. Optimal Projections for Classification with Naive Bayes
  72. Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery
  73. Joint Input and Output Coordination for Class-Incremental Learning
  74. G-NeLF: Memory- and Data-Efficient Hybrid Neural Light Field for Novel View Synthesis
  75. CustomContrast: A Multilevel Contrastive Perspective For Subject-Driven Text-to-Image Customization
  76. Normalizing Energy Consumption for Hardware-Independent Evaluation
  77. Longer is (Not Necessarily) Stronger: Punctuated Long-Sequence Training for Enhanced Speech Recognition and Translation
  78. When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
  79. SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples
  80. ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
  81. Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
  82. Latent Causal Modeling for 3D Brain MRI Counterfactuals
  83. Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation
  84. Approximation Bounds for Recurrent Neural Networks with Application to Regression
  85. Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
  86. DeepTV: A neural network approach for total variation minimization
  87. On the Convergence of Sigmoid and tanh Fuzzy General Grey Cognitive Maps
  88. LEROjD: Lidar Extended Radar-Only Object Detection
  89. Seeing Through the Mask: Rethinking Adversarial Examples for CAPTCHAs
  90. Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations
  91. Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild
  92. CoBo: Collaborative Learning via Bilevel Optimization
  93. HMAFlow: Learning More Accurate Optical Flow via Hierarchical Motion Field Alignment
  94. QiBERT -- Classifying Online Conversations Messages with BERT as a Feature
  95. An encoding of argumentation problems using quadratic unconstrained binary optimization
  96. Interpolation, Extrapolation, Hyperpolation: Generalising into new dimensions
  97. A general reduced-order neural operator for spatio-temporal predictive learning on complex spatial domains
  98. Scalable Time-Series Causal Discovery with Approximate Causal Ordering
  99. Using machine learning for fault detection in lighthouse light sensors
  100. An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery
  101. A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression
  102. Elsevier Arena: Human Evaluation of Chemistry/Biology/Health Foundational Large Language Models
  103. CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
  104. Advancing Machine Learning for Stellar Activity and Exoplanet Period Rotation
  105. Retrofitting Temporal Graph Neural Networks with Transformer
  106. PVP-Recon: Progressive View Planning via Warping Consistency for Sparse-View Surface Reconstruction
  107. Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
  108. Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation
  109. Visualizing Extensions of Argumentation Frameworks as Layered Graphs
  110. Representational Analysis of Binding in Language Models
  111. EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels
  112. TextToucher: Fine-Grained Text-to-Touch Generation
  113. Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection
  114. STLM Engineering Report: Dropout
  115. AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
  116. KRONC: Keypoint-based Robust Camera Optimization for 3D Car Reconstruction
  117. A Survey of Multimodal Composite Editing and Retrieval
  118. HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications
  119. Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5
  120. FacialFlowNet: Advancing Facial Optical Flow Estimation with a Diverse Dataset and a Decomposed Model
  121. TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
  122. A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detection
  123. Decoupling Contact for Fine-Grained Motion Style Transfer
  124. Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models
  125. Deep Learning for Video Anomaly Detection: A Review
  126. Prim2Room: Layout-Controllable Room Mesh Generation from Primitives
  127. PersonaTalk: Bring Attention to Your Persona in Visual Dubbing
  128. Memoryless Multimodal Anomaly Detection via Student-Teacher Network and Signed Distance Learning
  129. Application Specific Compression of Deep Learning Models
  130. Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds
  131. IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS
  132. Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design
  133. PriorDrive: Enhancing Online HD Mapping with Unified Vector Priors
  134. On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective
  135. TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
  136. GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System
  137. Robust Non-adaptive Group Testing under Errors in Group Membership Specifications
  138. Graffin: Stand for Tails in Imbalanced Node Classification
  139. Early-exit Convolutional Neural Networks
  140. A Multi-Modal Deep Learning Based Approach for House Price Prediction
  141. Lagrangian Hashing for Compressed Neural Field Representations
  142. KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation
  143. ICPR 2024 Competition on Safe Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather Conditions
  144. Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces
  145. An Effective UNet Using Feature Interaction and Fusion for Organ Segmentation in Medical Image
  146. Machine Anomalous Sound Detection Using Spectral-temporal Modulation Representations Derived from Machine-specific Filterbanks
  147. Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications
  148. Open-World Dynamic Prompt and Continual Visual Representation Learning
  149. Fitting Skeletal Models via Graph-based Learning
  150. Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems
  151. RAL:Redundancy-Aware Lipreading Model Based on Differential Learning with Symmetric Views
  152. Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
  153. Resource-Efficient Generative AI Model Deployment in Mobile Edge Networks
  154. Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis
  155. Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics
  156. Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction
  157. RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation
  158. BrainDecoder: Style-Based Visual Decoding of EEG Signals
  159. Disentangled Representations for Short-Term and Long-Term Person Re-Identification
  160. RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU
  161. Rethinking Theoretical Illumination for Efficient Low-Light Image Enhancement
  162. Learning Submodular Sequencing from Samples
  163. Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space
  164. Towards Automated Machine Learning Research
  165. UPCS: Unbiased Persona Construction for Dialogue Generation
  166. Label-free evaluation of lung and heart transplant biopsies using tissue autofluorescence-based virtual staining
  167. MRStyle: A Unified Framework for Color Style Transfer with Multi-Modality Reference