mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 20 Sep 2024

293 papers

  1. Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual InformationMultimodal LLMs / vision-language models → Medical vision-language models
  2. AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual GranularityMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  3. CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and ConsistencyLLM reasoning → Prompting and chain-of-thought reasoning
  4. ControlMath: Controllable Data Generation Promotes Math Generalist ModelsLLM reasoning → Mathematical reasoning
  5. Depression Diagnosis Dialogue Simulation: Self-improving Psychiatrist with Tertiary MemorySynthetic data and self-improvement for LLMs → Medical synthetic data and agents
  6. Aligning Language Models Using Follow-up Likelihood as Reward SignalLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  7. PureDiffusion: Using Backdoor to Counter Backdoor in Generative Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  8. TalkMosaic: Interactive PhotoMosaic with Multi-modal LLM Q&A InteractionsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  9. Simple Unsupervised Knowledge Distillation With Space SimilarityKnowledge distillation → General knowledge distillation methods
  10. Measuring Error Alignment for Decision-Making SystemsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  11. Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure IdentifierDiffusion models → Flow matching, time series and science
  12. CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic DataSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  13. PTQ4ADM: Post-Training Quantization for Efficient Text Conditional Audio Diffusion ModelsDiffusion models → Audio, speech and music
  14. MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot SafetyDeep reinforcement learning methods → Safe and constrained RL
  15. PrefMMT: Modeling Human Preferences in Preference-based Reinforcement Learning with Multimodal TransformersDeep reinforcement learning methods → RL training of language and agent models
  16. ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot NavigationLLM reasoning → Spatial and embodied reasoning
  17. SoloParkour: Constrained Reinforcement Learning for Visual Locomotion from Privileged ExperienceDeep reinforcement learning methods → RL for robot locomotion and manipulation
  18. DiffFluid: Plain Diffusion Models are Effective Predictors of Flow DynamicsDiffusion models → Flow matching, time series and science
  19. Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  20. A Multi-Agent Approach to Fault Localization via Graph-Based Retrieval and ReflexionLLM agents and tool use → Software engineering coding agents
  21. Subassembly to Full Assembly: Effective Assembly Sequence Planning through Graph-based Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  22. FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene GraphsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  23. RECON: Reducing Causal Confusion with Human-Placed MarkersOffline RL and imitation learning from data → Robot manipulation imitation learning
  24. YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
  25. ChainBuddy: An AI Agent System for Generating LLM PipelinesLLM agents and tool use → General LLM agent frameworks and benchmarks
  26. FullAnno: A Data Engine for Enhancing Image Comprehension of MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  27. Physics-Informed Latent Diffusion for Multimodal Brain MRI SynthesisDiffusion models → Medical imaging and segmentation
  28. An Efficient Multi-Robot Arm Coordination Strategy for Pick-and-Place Tasks using Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  29. Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with WhisperKnowledge distillation → Speech and audio distillation
  30. Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  31. Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  32. Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI ExpertsLLM agents and tool use → General LLM agent frameworks and benchmarks
  33. Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
  34. Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  35. Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A SurveyRetrieval-augmented generation → Generation and context integration
  36. Imagine yourself: Tuning-Free Personalized Image GenerationDiffusion models → Image generation, text-to-image and editing
  37. Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent DiffusionDiffusion models → Diffusion and flow policies for robotics
  38. Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks DetectionLLM safety and security → Prompt injection and agent security
  39. Generative Aerodynamic Design with Diffusion Probabilistic ModelsDiffusion models → Flow matching, time series and science
  40. Optimizing RLHF Training for Large Language Models with Stage FusionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  41. Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning TasksLLM reasoning → Prompting and chain-of-thought reasoning +1
  42. CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General PerformanceLLM agents and tool use → Tool learning and function calling
  43. ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  44. Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  45. Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF MonitoringDiffusion models → Flow matching, time series and science
  46. RRM: Robust Reward Model Training Mitigates Reward HackingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  47. Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based SolutionsEnd-to-end autonomous driving → Reinforcement learning for driving +1
  48. A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters
  49. Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation
  50. Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives
  51. End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commerce
  52. Transfer Learning for E-commerce Query Product Type Prediction
  53. Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models
  54. Generating Topologically and Geometrically Diverse Manifold Data in Dimensions Four and Below
  55. FAIR GPT: A virtual consultant for research data management in ChatGPT
  56. LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion
  57. Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles
  58. A Multiple-Fill-in-the-Blank Exam Approach for Enhancing Zero-Resource Hallucination Detection in Large Language Models
  59. Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino
  60. Toward Automated Clinical Transcriptions
  61. Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia
  62. DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention
  63. Deep learning for fast segmentation and critical dimension metrology & characterization enabling AR/VR design and fabrication
  64. Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM
  65. PyGRF: An improved Python Geographical Random Forest model and case studies in public health and natural disasters
  66. Learning Recourse Costs from Pairwise Feature Comparisons
  67. High-Resolution Flood Probability Mapping Using Generative Machine Learning with Large-Scale Synthetic Precipitation and Inundation Data
  68. MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models
  69. On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
  70. RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations
  71. Failures in Perspective-taking of Multimodal AI Systems
  72. Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
  73. SpaceBlender: Creating Context-Rich Collaborative Spaces Through Generative 3D Scene Blending
  74. One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks
  75. Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling
  76. Target word activity detector: An approach to obtain ASR word boundaries without lexicon
  77. OneBEV: Using One Panoramic Image for Bird's-Eye-View Semantic Mapping
  78. High-dimensional learning of narrow neural networks
  79. Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology
  80. LLM for Everyone: Representing the Underrepresented in Large Language Models
  81. Transfer Learning with Clinical Concept Embeddings from Large Language Models
  82. Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
  83. Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning
  84. Learning to Play Video Games with Intuitive Physics Priors
  85. A Multi-LLM Debiasing Framework
  86. Tabular Data Generation using Binary Diffusion
  87. Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks
  88. "I Never Said That": A dataset, taxonomy and baselines on response clarity classification
  89. Cross-Domain Knowledge Transfer for Underwater Acoustic Classification Using Pre-trained Models
  90. Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024
  91. Physics-Informed Variational State-Space Gaussian Processes
  92. Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue
  93. Instruct-Tuning Pretrained Causal Language Models for Ancient Greek Papyrology and Epigraphy
  94. Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations
  95. Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
  96. Persistent Backdoor Attacks in Continual Learning
  97. Learning to Simulate Aerosol Dynamics with Graph Neural Networks
  98. SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation
  99. Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences
  100. More Consideration for the Perceptron
All 293
  1. Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
  2. Do language models practice what they preach? Examining language ideologies about gendered language reform encoded in LLMs
  3. Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks
  4. Segment Discovery: Enhancing E-commerce Targeting
  5. Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI
  6. STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
  7. GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
  8. Measuring Copyright Risks of Large Language Model via Partial Information Probing
  9. ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
  10. A personalized time-resolved 3D mesh generative model for unveiling normal heart dynamics
  11. Intrinsic Single-Image HDR Reconstruction
  12. On the Feasibility of Fully AI-automated Vishing Attacks
  13. Continual Learning for Multimodal Data Fusion of a Soft Gripper
  14. Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning
  15. Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus
  16. Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification
  17. Physics-informed kernel learning
  18. A Value Based Parallel Update MCTS Method for Multi-Agent Cooperative Decision Making of Connected and Automated Vehicles
  19. Colorful Diffuse Intrinsic Image Decomposition in the Wild
  20. Temporally Aligned Audio for Video with Autoregression
  21. Morphological Detection and Classification of Microplastics and Nanoplastics Emerged from Consumer Products by Deep Learning
  22. A Bottom-Up Approach to Class-Agnostic Image Segmentation
  23. The Impact of Large Language Models in Academia: from Writing to Speaking
  24. The FIX Benchmark: Extracting Features Interpretable to eXperts
  25. Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks
  26. A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
  27. Analysis of Gene Regulatory Networks from Gene Expression Using Graph Neural Networks
  28. Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning
  29. A Novel Neural Filter to Improve Accuracy of Neural Network Models of Dynamic Systems
  30. OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
  31. V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians
  32. DP2-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization
  33. Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural Networks
  34. Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification
  35. Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning
  36. Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation
  37. Transformers in Uniform TC0
  38. Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes
  39. Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism
  40. pAE: An Efficient Autoencoder Architecture for Modeling the Lateral Geniculate Nucleus by Integrating Feedforward and Feedback Streams in Human Visual System
  41. Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
  42. MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
  43. Towards Child-Inclusive Clinical Video Understanding for Autism Spectrum Disorder
  44. MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
  45. Prithvi WxC: Foundation Model for Weather and Climate
  46. Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challenges
  47. Portrait Video Editing Empowered by Multimodal Generative Priors
  48. Analyzing the Effect of k-Space Features in MRI Classification Models
  49. Neurosymbolic Conformal Classification
  50. Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
  51. Region Prompt Tuning: Fine-grained Scene Text Detection Utilizing Region Text Prompt
  52. Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling
  53. Tackling fluffy clouds: robust agricultural field boundary delineation from Sentinel-1 and Sentinel-2 satellite image time series
  54. Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
  55. Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
  56. Efficient Visualization of Neural Networks with Generative Models and Adversarial Perturbations
  57. Trustworthy Hate Speech Detection Through Visual Augmentation
  58. Generating Visual Stories with Grounded and Coreferent Characters
  59. Contextualized Data-Wrangling Code Generation in Computational Notebooks
  60. A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
  61. Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
  62. Certified Adversarial Robustness via Partition-based Randomized Smoothing
  63. Graph Similarity Regularized Softmax for Semi-Supervised Node Classification
  64. First Place Solution to the Multiple-choice Video QA Track of The Second Perception Test Challenge
  65. ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources
  66. Formula-Supervised Visual-Geometric Pre-training
  67. Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave
  68. Towards Long-Context Time Series Foundation Models
  69. Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures
  70. Contextualized AI for Cyber Defense: An Automated Survey using LLMs
  71. EMMeTT: Efficient Multimodal Machine Translation Training
  72. A Survey on Moral Foundation Theory and Pre-Trained Language Models: Current Advances and Challenges
  73. Unifying Global and Near-Context Biasing in a Single Trie Pass
  74. Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval
  75. Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation
  76. SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
  77. HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation
  78. A Deep Learning Approach for Pixel-level Material Classification via Hyperspectral Imaging
  79. DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurring
  80. 'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi Language Generation by LLMs
  81. A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering
  82. Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties
  83. A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
  84. Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
  85. PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery
  86. Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework
  87. Stimulus-to-Stimulus Learning in RNNs with Cortical Inductive Biases
  88. Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise
  89. Higher-Order Message Passing for Glycan Representation Learning
  90. Global Outlier Detection in a Federated Learning Setting with Isolation Forest
  91. Robust Salient Object Detection on Compressed Images Using Convolutional Neural Networks
  92. Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
  93. Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning
  94. Noise-Robust and Resource-Efficient ADMM-based Federated Learning
  95. AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed Bandit
  96. Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input
  97. Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning
  98. Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models
  99. Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling
  100. CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction
  101. A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs
  102. HMD^2: Environment-aware Motion Generation from Single Egocentric Head-Mounted Device
  103. State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?
  104. Occupancy-Based Dual Contouring
  105. Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
  106. Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging
  107. Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition
  108. Credit Card Fraud Detection: A Deep Learning Approach
  109. Validation & Exploration of Multimodal Deep-Learning Camera-Lidar Calibration models
  110. PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
  111. Elite-EvGS: Learning Event-based 3D Gaussian Splatting by Distilling Event-to-Video Priors
  112. Hydrogen under Pressure as a Benchmark for Machine-Learning Interatomic Potentials
  113. Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D
  114. Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis
  115. LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench
  116. MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation
  117. ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
  118. RingMo-Aerial: An Aerial Remote Sensing Foundation Model With Affine Transformation Contrastive Learning
  119. FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
  120. EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models
  121. Recent Advancement of Emotion Cognition in Large Language Models
  122. ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification
  123. V-Hands: Touchscreen-based Hand Tracking for Remote Whiteboard Interaction
  124. A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing
  125. Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data
  126. Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time
  127. Beyond the binary: Limitations and possibilities of gender-related speech technology research
  128. Enhancing Fruit and Vegetable Detection in Unconstrained Environment with a Novel Dataset
  129. Towards Semi-supervised Dual-modal Semantic Segmentation
  130. SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation
  131. JMedBench: A Benchmark for Evaluating Japanese Biomedical Large Language Models
  132. A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks
  133. GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification
  134. MeMoir: A Software-Driven Covert Channel based on Memory Usage
  135. Predicting DNA fragmentation: A non-destructive analogue to chemical assays using machine learning
  136. OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
  137. Localized Gaussians as Self-Attention Weights for Point Clouds Correspondence
  138. Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Prediction using Weather Image Time Series
  139. Efficient Training of Deep Neural Operator Networks via Randomized Sampling
  140. Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
  141. JoyHallo: Digital human model for Mandarin
  142. Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts
  143. Towards LifeSpan Cognitive Systems
  144. Large Language Model Should Understand Pinyin for Chinese ASR Error Correction
  145. A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning
  146. Emergent Collective Reproduction via Evolving Neuronal Flocks
  147. Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network
  148. Leveraging Knowledge Graphs and LLMs to Support and Monitor Legislative Systems
  149. T2M-X: Learning Expressive Text-to-Motion Generation from Partially Annotated Data
  150. Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning
  151. From Cognition to Precognition: A Future-Aware Framework for Social Navigation
  152. Deep Generative Adversarial Network for Occlusion Removal from a Single Image
  153. Exploring energy minimization to model strain localization as a strong discontinuity using Physics Informed Neural Networks
  154. Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise
  155. Relationship between Uncertainty in DNNs and Adversarial Attacks
  156. Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
  157. Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators
  158. 3D-GSW: 3D Gaussian Splatting for Robust Watermarking
  159. MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
  160. A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
  161. Redefining Data Pairing for Motion Retargeting Leveraging a Human Body Prior
  162. Unveiling Population Heterogeneity in Health Risks Posed by Environmental Hazards Using Regression-Guided Neural Network
  163. CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information
  164. Exploring Scaling Laws for Local SGD in Large Language Model Training
  165. BoilerTAI: A Platform for Enhancing Instruction Using Generative AI in Educational Forums
  166. ChemDFM-X: Towards Large Multimodal Model for Chemistry
  167. Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management
  168. Cooperative Resilience in Artificial Intelligence Multiagent Systems
  169. ASPINN: An asymptotic strategy for solving singularly perturbed differential equations
  170. textitSKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
  171. Overcoming Data Limitations in Internet Traffic Forecasting: LSTM Models with Transfer Learning and Wavelet Augmentation
  172. FreeAvatar: Robust 3D Facial Animation Transfer by Learning an Expression Foundation Model
  173. ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry
  174. An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMs
  175. RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
  176. Bilateral Sharpness-Aware Minimization for Flatter Minima
  177. Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems
  178. Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control
  179. Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions
  180. Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework
  181. High-Fidelity Mask-free Neural Surface Reconstruction for Virtual Reality
  182. Convergence of Distributed Adaptive Optimization with Local Updates
  183. Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
  184. Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
  185. Learning Visual Information Utility with PIXER
  186. UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition
  187. The Impact of Feature Embedding Placement in the Ansatz of a Quantum Kernel in QSVMs
  188. GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation
  189. Score-Based Multibeam Point Cloud Denoising
  190. Learning to Compare Hardware Designs for High-Level Synthesis
  191. Interpret the Predictions of Deep Networks via Re-Label Distillation
  192. Federated Learning with Label-Masking Distillation
  193. CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness