mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 11 Mar 2024

315 papers

  1. Rebuilding ROME : Resolving Model Collapse during Sequential Model EditingSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  2. Thought Graph: Generating Thought Process for Biological ReasoningLLM reasoning → Clinical and biomedical applications
  3. One Category One Prompt: Dataset Distillation using Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  4. On the Limited Representational Power of Value Functions and its Links to Statistical (In)EfficiencyDeep reinforcement learning methods → RL theory and sample complexity
  5. Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space DebrisDeep reinforcement learning methods → RL for robot navigation and UAV control
  6. A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the EdgeEfficient LLM inference and serving → Early exit and edge inference
  7. AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  8. VideoMamba: State Space Model for Efficient Video UnderstandingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  9. BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch DiffusionDiffusion models → 3D, point cloud and scene generation
  10. Bayesian Diffusion Models for 3D Shape ReconstructionDiffusion models → 3D, point cloud and scene generation
  11. Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of ExpertsMixture-of-experts → MoE in reinforcement learning and robotics +1
  12. DEADiff: An Efficient Stylization Diffusion Model with Disentangled RepresentationsDiffusion models → Image generation, text-to-image and editing
  13. Split to Merge: Unifying Separated Modalities for Unsupervised Domain AdaptationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  14. Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory PredictionDiffusion models → Medical imaging and segmentation
  15. ERA-CoT: Improving Chain-of-Thought through Entity Relationship AnalysisLLM reasoning → Prompting and chain-of-thought reasoning
  16. Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  17. Quantifying the Sensitivity of Inverse Reinforcement Learning to MisspecificationOffline RL and imitation learning from data → Inverse reinforcement learning +1
  18. DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video GenerationWorld models → World models for autonomous driving +1
  19. RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-FeedbackRetrieval-augmented generation → RAG robustness and adaptive retrieval
  20. In-context Exploration-Exploitation for Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
  21. Multistep Consistency ModelsDiffusion models → Diffusion foundations and sampling
  22. On the Global Convergence of Policy Gradient in Average Reward Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  23. MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational PathologyState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  24. Boosting Image Restoration via Priors from Pre-trained ModelsDiffusion models → Inverse problems and image restoration
  25. An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  26. ALaRM: Align Language Models via Hierarchical Rewards ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  27. Distribution-Aware Data Expansion with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  28. V3D: Video Diffusion Models are Effective 3D GeneratorsDiffusion models → 3D, point cloud and scene generation
  29. Enhancing Image Caption Generation Using Reinforcement Learning with Human FeedbackLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
  30. Multimodal Large Language Model driven Radiology Report Generation with Clinical Knowledge EnhancementMultimodal LLMs / vision-language models → Medical vision-language models
  31. Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image CompressionKnowledge distillation → Federated, robust and private distillation
  32. Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated CodeLLM safety and security → Backdoor and data poisoning attacks
  33. PeerAiD: Improving Adversarial Distillation from a Specialized Peer TutorKnowledge distillation → Federated, robust and private distillation
  34. Guiding Clinical Reasoning with Large Language Models via Knowledge SeedsLLM reasoning → Clinical and biomedical applications
  35. Towards more accurate and useful data anonymity vulnerability measuresLLM safety and security → Membership inference attacks
  36. Authorship and the Politics and Ethics of LLM WatermarksLLM safety and security → Watermarking generated content and models
  37. Scalable Online Exploration via CoverabilityDeep reinforcement learning methods → RL theory and sample complexity
  38. Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based RewardDeep reinforcement learning methods → RL for autonomous driving and traffic
  39. Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement LearningDiffusion models → Medical imaging and segmentation +1
  40. Incorporating Improved Sinusoidal Threshold-based Semi-supervised Method and Diffusion Models for Osteoporosis DiagnosisDiffusion models → Medical imaging and segmentation
  41. Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering StrategyState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  42. RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling ApproachDeep reinforcement learning methods → RL for autonomous driving and traffic
  43. FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font ApplicationsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  44. Text2QR: Harmonizing Aesthetic Customization and Scanning Robustness for Text-Guided QR Code GenerationDiffusion models → Image generation, text-to-image and editing
  45. CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail RecommendationLLM reasoning → LLM reasoning for recommendation +1
  46. Enhanced Sparsification via Stimulative TrainingKnowledge distillation → General knowledge distillation methods
  47. Evolving Knowledge Distillation with Large Language Models and Active LearningKnowledge distillation → Knowledge distillation for LLMs
  48. Can LLMs' Tuning Methods Work in Medical Multimodal Domain?Multimodal LLMs / vision-language models → Medical vision-language models
  49. DivCon: Divide and Conquer for Complex Numerical and Spatial Reasoning in Text-to-Image GenerationLLM reasoning → Multimodal reasoning
  50. FSViewFusion: Few-Shots View Generation of Novel ObjectsDiffusion models → 3D, point cloud and scene generation
  51. Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  52. Finite-Time Error Analysis of Soft Q-Learning: Switching System ApproachDeep reinforcement learning methods → RL theory and sample complexity
  53. Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource LanguagesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  54. Deep Reinforcement Learning for Modelling Protein Complexes
  55. SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
  56. InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
  57. SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees
  58. Prompt Selection and Augmentation for Few Examples Code Generation in Large Language Model and its Application in Robotics Control
  59. Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study
  60. Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
  61. Textual analysis of End User License Agreement for red-flagging potentially malicious software
  62. Linguistic Structure Induction from Language Models
  63. A Hybrid Intelligence Method for Argument Mining
  64. A Knowledge-Injected Curriculum Pretraining Framework for Question Answering
  65. Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News
  66. People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI
  67. DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
  68. Algorithmic Bayesian Epistemology
  69. The evaluation of a code-switched Sepedi-English automatic speech recognition system
  70. A Mathematical Framework for the Problem of Security for Cognition in Neurotechnology
  71. Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits
  72. Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach
  73. How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?
  74. SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser
  75. A multi-cohort study on prediction of acute brain dysfunction states using selective state space models
  76. Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions
  77. CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence?
  78. (N,K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model
  79. UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation
  80. Uncertainty in Graph Neural Networks: A Survey
  81. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
  82. 3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure Generation
  83. 2023 Low-Power Computer Vision Challenge (LPCVC) Summary
  84. History-Aware and Dynamic Client Contribution in Federated Learning
  85. Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
  86. Harnessing the Continuous Structure: Utilizing the First-order Approach in Online Contract Design
  87. Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution
  88. COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
  89. A New Machine Learning Dataset of Bulldog Nostril Images for Stenosis Degree Classification
  90. Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocation
  91. DrJAX: Scalable and Differentiable MapReduce Primitives in JAX
  92. Heterogeneous Image-based Classification Using Distributional Data Analysis
  93. Narrating Causal Graphs with Large Language Models
  94. Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
  95. Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies
  96. A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
  97. Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxations
  98. FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
  99. A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma
  100. Time Series Analysis of Key Societal Events as Reflected in Complex Social Media Data Streams
All 315
  1. SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference
  2. LSTM-Based Text Generation: A Study on Historical Datasets
  3. Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
  4. Mapping High-level Semantic Regions in Indoor Environments without Object Recognition
  5. Explainable Learning with Gaussian Processes
  6. LISO: Lidar-only Self-Supervised 3D Object Detection
  7. Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models
  8. Better than classical? The subtle art of benchmarking quantum machine learning models
  9. Ant Colony Sampling with GFlowNets for Combinatorial Optimization
  10. All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract)
  11. From English to ASIC: Hardware Implementation with Large Language Model
  12. Leveraging graph neural networks for supporting Automatic Triage of Patients
  13. Multiple Population Alternate Evolution Neural Architecture Search
  14. Interpreting What Typical Fault Signals Look Like via Prototype-matching
  15. STARFlow: Spatial Temporal Feature Re-embedding with Attentive Learning for Real-world Scene Flow
  16. Cramming Contextual Bandits for On-policy Statistical Evaluation
  17. An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem
  18. Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling
  19. Memory-based Adapters for Online 3D Scene Perception
  20. A representation-learning game for classes of prediction tasks
  21. MRL Parsing Without Tears: The Case of Hebrew
  22. Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomena
  23. The pitfalls of next-token prediction
  24. Explainable Transformer Prototypes for Medical Diagnoses
  25. Accurate Crystal Structure Prediction of New 2D Hybrid Organic Inorganic Perovskites
  26. Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer
  27. SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
  28. Applicability of oculomics for individual risk prediction: Repeatability and robustness of retinal Fractal Dimension using DART and AutoMorph
  29. Materials science in the era of large language models: a perspective
  30. Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge
  31. Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies
  32. Counterfactual Reasoning with Knowledge Graph Embeddings
  33. Naming, Describing, and Quantifying Visual Objects in Humans and LLMs
  34. Transformers Learn Low Sensitivity Functions: Investigations and Implications
  35. MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
  36. DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
  37. Responsible Artificial Intelligence: A Structured Literature Review
  38. FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization
  39. Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints
  40. Human Pose Descriptions and Subject-Focused Attention for Improved Zero-Shot Transfer in Human-Centric Classification Tasks
  41. Benign overfitting in leaky ReLU networks with moderate input dimension
  42. Deep adaptative spectral zoom for improved remote heart rate estimation
  43. LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration
  44. GRITv2: Efficient and Light-weight Social Relation Recognition
  45. Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head
  46. Application of Quantum Tensor Networks for Protein Classification
  47. Process signature-driven high spatio-temporal resolution alignment of multimodal data
  48. A Simple Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation
  49. SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection
  50. COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
  51. Last Iterate Convergence of Incremental Methods and Applications in Continual Learning
  52. Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documents
  53. On the Generalization Ability of Unsupervised Pretraining
  54. Semantic Residual Prompts for Continual Learning
  55. Impact of Noisy Supervision in Foundation Model Learning
  56. QUASAR: QUality and Aesthetics Scoring with Advanced Representations
  57. Real-Time Simulated Avatar from Head-Mounted Sensors
  58. A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa
  59. Development of a Reliable and Accessible Caregiving Language Model (CaLM)
  60. DiaLoc: An Iterative Approach to Embodied Dialog Localization
  61. Towards an educational tool for supporting neonatologists in the delivery room
  62. Individualized Mapping of Aberrant Cortical Thickness via Stochastic Cortical Self-Reconstruction
  63. Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
  64. Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
  65. Noise-powered Multi-modal Knowledge Graph Representation Framework
  66. HDRTransDC: High Dynamic Range Image Reconstruction with Transformer Deformation Convolution
  67. Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment
  68. NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
  69. Are Targeted Messages More Effective?
  70. Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science
  71. ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
  72. LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
  73. Monotone Individual Fairness
  74. Deep Learning Approaches for Human Action Recognition in Video Data
  75. Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction
  76. Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
  77. CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
  78. Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
  79. Leveraging Internal Representations of Model for Magnetic Image Classification
  80. SPLADE-v3: New baselines for SPLADE
  81. Genetic Learning for Designing Sim-to-Real Data Augmentations
  82. FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
  83. Redefining Event Types and Group Evolution in Temporal Data
  84. Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation
  85. XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
  86. ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model
  87. Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
  88. EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
  89. Koopman Ensembles for Probabilistic Time Series Forecasting
  90. Generalising Multi-Agent Cooperation through Task-Agnostic Communication
  91. Shortcut Learning in Medical Image Segmentation
  92. ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation
  93. Real-Time Multimodal Cognitive Assistant for Emergency Medical Services
  94. On the Approximation of Kernel functions
  95. Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
  96. Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
  97. Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization
  98. PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification
  99. Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data
  100. Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency
  101. Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach
  102. PLOOD: Partial Label Learning with Out-of-distribution Objects
  103. Answering Diverse Questions via Text Attached with Key Audio-Visual Clues
  104. Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction
  105. CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
  106. Car Damage Detection and Patch-to-Patch Self-supervised Image Alignment
  107. Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
  108. Untangling Gaussian Mixtures
  109. CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning
  110. Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
  111. epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition
  112. FashionReGen: LLM-Empowered Fashion Report Generation
  113. Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
  114. Towards Zero-Shot Interpretable Human Recognition: A 2D-3D Registration Framework
  115. Ricci flow-based brain surface covariance descriptors for diagnosing Alzheimer's disease
  116. Elephants Never Forget: Testing Language Models for Memorization of Tabular Data
  117. Spatial features of CO2 for occupancy detection in a naturally ventilated school building
  118. TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance
  119. Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
  120. Forest Inspection Dataset for Aerial Semantic Segmentation and Depth Estimation
  121. Density-Guided Label Smoothing for Temporal Localization of Driving Actions
  122. Pulling back symmetric Riemannian geometry for data analysis
  123. MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding
  124. Distributionally Generative Augmentation for Fair Facial Attribute Classification
  125. Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers
  126. BEV2PR: BEV-Enhanced Visual Place Recognition with Structural Cues
  127. Exploiting Style Latent Flows for Generalizing Deepfake Video Detection
  128. Academically intelligent LLMs are not necessarily socially intelligent
  129. ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
  130. Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition
  131. FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder
  132. AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
  133. Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications
  134. Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming
  135. Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis
  136. Leveraging Foundation Models for Content-Based Image Retrieval in Radiology
  137. Unraveling the Mystery of Scaling Laws: Part I
  138. Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
  139. Data-driven architecture to encode information in the kinematics of robots and artificial avatars
  140. Detection of Object Throwing Behavior in Surveillance Videos
  141. OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation
  142. ReStainGAN: Leveraging IHC to IF Stain Domain Translation for in-silico Data Generation
  143. 3DRef: 3D Dataset and Benchmark for Reflection Detection in RGB and Lidar Data
  144. On the Consideration of AI Openness: Can Good Intent Be Abused?
  145. Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution
  146. Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
  147. SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection
  148. Reconstructing Visual Stimulus Images from EEG Signals Based on Deep Visual Representation Model
  149. Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis
  150. Adaptive Federated Learning Over the Air
  151. How to Understand Named Entities: Using Common Sense for News Captioning
  152. Active Generation for Image Classification
  153. Structure Your Data: Towards Semantic Graph Counterfactuals
  154. Skeleton Supervised Airway Segmentation
  155. Voxel-Mesh Hybrid Representation for Real-Time View Synthesis
  156. Automatic Generation of Python Programs Using Context-Free Grammars
  157. SeSame: Simple, Easy 3D Object Detection with Point-Wise Semantics
  158. Detection of Unobserved Common Causes based on NML Code in Discrete, Mixed, and Continuous Variables
  159. QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning
  160. Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
  161. Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling
  162. Query-guided Prototype Evolution Network for Few-Shot Segmentation
  163. Multilingual Turn-taking Prediction Using Voice Activity Projection
  164. Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach
  165. The negation of permutation mass function
  166. Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
  167. Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template Matching
  168. Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine
  169. 3D-aware Image Generation and Editing with Multi-modal Conditions
  170. RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems
  171. Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
  172. Interactive Test-Time Adaptation with Reliable Spatial-Temporal Voxels for Multi-Modal Segmentation
  173. From Pixel to Cancer: Cellular Automata in Computed Tomography
  174. Prediction of Wort Density with LSTM Network
  175. Ensemble Quadratic Assignment Network for Graph Matching
  176. A Survey of Learned Indexes for the Multi-dimensional Space
  177. Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models
  178. Latent Semantic Consensus For Deterministic Geometric Model Fitting
  179. Temporal-Mapping Photography for Event Cameras
  180. Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection
  181. Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
  182. AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration
  183. A Differential Geometric View and Explainability of GNN on Evolving Graphs
  184. Bridging Domains with Approximately Shared Features
  185. A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos
  186. RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
  187. Causal Multi-Label Feature Selection in Federated Setting
  188. CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean
  189. A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation
  190. What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation
  191. When No-Reference Image Quality Models Meet MAP Estimation in Diffusion Latents
  192. Cosine Scoring with Uncertainty for Neural Speaker Embedding
  193. PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models
  194. One size doesn't fit all: Predicting the Number of Examples for In-Context Learning
  195. Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation
  196. GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
  197. On the Diminishing Returns of Width for Continual Learning
  198. DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
  199. A Segmentation Foundation Model for Diverse-type Tumors
  200. Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
  201. A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid
  202. Pre-Trained Model Recommendation for Downstream Fine-tuning
  203. Eliminating Warping Shakes for Unsupervised Online Video Stitching
  204. FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization
  205. FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables
  206. Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style
  207. Say Anything with Any Style
  208. See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI
  209. Human and Automatic Interpretation of Romanian Noun Compounds
  210. Video Generation with Consistency Tuning
  211. Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment
  212. Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems
  213. Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos
  214. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages
  215. MOAB: Multi-Modal Outer Arithmetic Block For Fusion Of Histopathological Images And Genetic Data For Brain Tumor Grading