mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 7 Mar 2024

263 papers

  1. DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular OptimizationDiffusion models → Flow matching, time series and science
  2. A Natural Extension To Online Algorithms For Hybrid RL With Limited CoverageDeep reinforcement learning methods → Deep RL algorithms and representations
  3. Automatic and Universal Prompt Injection Attacks against Large Language ModelsLLM safety and security → Prompt injection and agent security
  4. Self-Adapting Large Visual-Language Models to Edge Devices across Visual ModalitiesMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  5. ConstitutionalExperts: Training a Mixture of Principle-based PromptsMixture-of-experts → MoE large language models
  6. A Safe Harbor for AI Evaluation and Red TeamingLLM safety and security → Prompt injection and agent security
  7. Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answeringLLM reasoning → Clinical and biomedical applications
  8. An Item is Worth a Prompt: Versatile Image Editing with Disentangled ControlDiffusion models → Image generation, text-to-image and editing
  9. LLMs in the Imaginarium: Tool Learning through Simulated Trial and ErrorLLM agents and tool use → Tool learning and function calling
  10. SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLMMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
  11. How Far Are We from Intelligent Visual Deductive Reasoning?LLM reasoning → Multimodal reasoning +1
  12. Common 7B Language Models Already Possess Strong Math CapabilitiesLLM reasoning → Mathematical reasoning
  13. PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image GenerationDiffusion models → Diffusion foundations and sampling
  14. Chain of Thought Explanation for Dialogue State TrackingLLM reasoning → Reasoning benchmarks and evaluation
  15. QAQ: Quality Adaptive Quantization for LLM KV CacheEfficient LLM inference and serving → KV cache quantization
  16. Teaching Large Language Models to Reason with Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
  17. CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual ScenariosMultimodal LLMs / vision-language models → Video understanding with MLLMs
  18. Pix2Gif: Motion-Guided Diffusion for GIF GenerationDiffusion models → Video generation
  19. A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography ImagesDiffusion models → Medical imaging and segmentation
  20. Embodied Understanding of Driving ScenariosEnd-to-end autonomous driving → VLMs for autonomous driving
  21. Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global WorkspaceDeep reinforcement learning methods → Deep RL algorithms and representations
  22. Machine learning and information theory concepts towards an AI MathematicianLLM reasoning → Mathematical reasoning
  23. Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown TransitionDeep reinforcement learning methods → RL theory and sample complexity
  24. Anatomy-Guided Surface Diffusion Model for Alzheimer's Disease Normative ModelingDiffusion models → Medical imaging and segmentation
  25. GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning CapabilityLLM reasoning → Knowledge- and tool-augmented reasoning
  26. TextMonkey: An OCR-Free Large Multimodal Model for Understanding DocumentMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  27. Efficient Off-Policy Learning for High-Dimensional Action SpacesDeep reinforcement learning methods → RL theory and sample complexity
  28. Membership Inference Attacks and Privacy in Topic ModelingLLM safety and security → Membership inference attacks
  29. Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal DenoiserDiffusion models → 3D, point cloud and scene generation
  30. Learning Human-to-Humanoid Real-Time Whole-Body TeleoperationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  31. Model-free H∞ control of Ito stochastic system via off-policy reinforcement learningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  32. RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  33. Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task DifficultyMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  34. A mechanism-driven reinforcement learning framework for shape optimization of airfoilsDeep reinforcement learning methods → RL with diffusion and flow models
  35. Effectiveness Assessment of Recent Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  36. MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual InvariantDiffusion models → Medical imaging and segmentation
  37. Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with ProxyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  38. Controllable Generation with Text-to-Image Diffusion Models: A SurveyDiffusion models → Image generation, text-to-image and editing
  39. Can Small Language Models be Good Reasoners for Sequential Recommendation?LLM reasoning → LLM reasoning for recommendation +1
  40. Federated Recommendation via Hybrid Retrieval Augmented GenerationRetrieval-augmented generation → RAG for recommendation
  41. Mastering Memory Tasks with World ModelsWorld models → Latent dynamics models and model-based RL +1
  42. Generalizing Cooperative Eco-driving via Multi-residual Task LearningEnd-to-end autonomous driving → Cooperative and V2X driving
  43. Why Online Reinforcement Learning is CausalOffline RL and imitation learning from data → Offline RL algorithms +1
  44. OGMP: Oracle Guided Multi-mode Policies for Agile and Versatile Robot ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
  45. On the Essence and Prospect: An Investigation of Alignment Approaches for Big ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  46. Dynamics of Moral Behavior in Heterogeneous Populations of Learning AgentsDeep reinforcement learning methods → RL for games and combinatorial optimization
  47. Fill-and-Spill: Deep Reinforcement Learning Policy Gradient Methods for Reservoir Operation Decision and ControlDeep reinforcement learning methods → RL for energy, networks and operations
  48. Generative AI for Synthetic Data Generation: Methods, Challenges and the FutureSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  49. Preference optimization of protein language models as a multi-objective binder design paradigmLLM alignment / RLHF / preference optimisation → Preference optimization for molecular design
  50. RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series ForecastingRetrieval-augmented generation → Time series and agricultural RAG
  51. Noisy Spiking Actor Network for ExplorationDeep reinforcement learning methods → Spiking and neuromorphic RL
  52. Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation ProcessDeep reinforcement learning methods → RL theory and sample complexity
  53. Towards learning-based planning:The nuPlan benchmark for real-world autonomous drivingEnd-to-end autonomous driving → End-to-end system architecture
  54. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferenceLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  55. Exploring LLM-based Agents for Root Cause AnalysisLLM agents and tool use → Software engineering coding agents
  56. Can Large Language Models Reason and Plan?LLM reasoning → Reasoning benchmarks and evaluation
  57. Globally Stable Neural Imitation PoliciesOffline RL and imitation learning from data → Imitation learning methods
  58. M"obius Transform for Mitigating Perspective Distortions in Representation Learning
  59. Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
  60. Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule
  61. Presenting Terrorizer: an algorithm for consolidating company names in patent assignees
  62. Convergence of Some Convex Message Passing Algorithms to a Fixed Point
  63. Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System
  64. Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
  65. Privacy Amplification for the Gaussian Mechanism via Bounded Support
  66. Comparison of gait phase detection using traditional machine learning and deep learning techniques
  67. An Image-based Typology for Visualization
  68. Fooling Neural Networks for Motion Forecasting via Adversarial Attacks
  69. MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
  70. AFreeCA: Annotation-Free Counting for All
  71. A spatiotemporal style transfer algorithm for dynamic visual stimulus generation
  72. Gradient-free neural topology optimization: Towards effective fracture-resistant designs
  73. LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping
  74. Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble
  75. A Survey on Human-AI Collaboration with Large Foundation Models
  76. On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
  77. BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling
  78. R2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations
  79. Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
  80. Identifying Causal Effects Under Functional Dependencies
  81. A Mixed-Integer Conic Program for the Moving-Target Traveling Salesman Problem based on a Graph of Convex Sets
  82. Towards Scene Graph Anticipation
  83. Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
  84. Learning Traveling Solitary Waves Using Separable Gaussian Neural Networks
  85. Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition
  86. Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning
  87. Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text
  88. Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
  89. A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data
  90. Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling
  91. A Survey of Lottery Ticket Hypothesis
  92. Self-Supervision in Time for Satellite Images(S3-TSS): A novel method of SSL technique in Satellite images
  93. Evaluating Biases in Context-Dependent Health Questions
  94. Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures
  95. Cell reprogramming design by transfer learning of functional transcriptional networks
  96. UniTable: Towards a Unified Framework for Table Recognition via Self-Supervised Pretraining
  97. Automating the Information Extraction from Semi-Structured Interview Transcripts
  98. Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy
  99. Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
  100. TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
All 263
  1. Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed
  2. TS-RSR: A provably efficient approach for batch Bayesian Optimization
  3. BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
  4. iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries
  5. Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
  6. KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts
  7. That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation
  8. JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  9. GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
  10. SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
  11. I Can't Believe It's Not Scene Flow!
  12. A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation
  13. Masked Capsule Autoencoders
  14. Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization
  15. ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes
  16. Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
  17. AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
  18. Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
  19. Analysis of Systems' Performance in Natural Language Processing Competitions
  20. Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
  21. Greater than the sum of its parts: The role of minority and majority status in collaborative problem-solving communication
  22. End-to-end Conditional Robust Optimization
  23. The Social Impact of Generative AI: An Analysis on ChatGPT
  24. Telecom Language Models: Must They Be Large?
  25. Dynamic Cross Attention for Audio-Visual Person Verification
  26. Audio-Visual Person Verification based on Recursive Fusion of Joint Cross-Attention
  27. Yi: Open Foundation Models by 01.AI
  28. Lightweight Cross-Modal Representation Learning
  29. MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis
  30. Entropy Aware Message Passing in Graph Neural Networks
  31. Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
  32. MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
  33. Strong Priority and Determinacy in Timed CCS
  34. Repelling-Attracting Hamiltonian Monte Carlo
  35. In-n-Out: Calibrating Graph Neural Networks for Link Prediction
  36. Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
  37. Learning Speed Adaptation for Flight in Clutter
  38. Unbiased Estimator for Distorted Conics in Camera Calibration
  39. Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset
  40. Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables
  41. Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes
  42. Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
  43. Improvements & Evaluations on the MLCommons CloudMask Benchmark
  44. Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
  45. Explainable Face Verification via Feature-Guided Gradient Backpropagation
  46. CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
  47. Architectural Blueprint For Heterogeneity-Resilient Federated Learning
  48. Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
  49. Towards Automatic Composition of ASP Programs from Natural Language Specifications
  50. Enhancing Data Quality in Federated Fine-Tuning of Foundation Models
  51. Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders
  52. T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers
  53. Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion
  54. Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation
  55. Where does In-context Translation Happen in Large Language Models
  56. Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces
  57. NLPre: a revised approach towards language-centric benchmarking of Natural Language Preprocessing systems
  58. Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks
  59. A Learnable Prior Improves Inverse Tumor Growth Modeling
  60. What makes an image realistic?
  61. Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
  62. Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
  63. On the Topology Awareness and Generalization Performance of Graph Neural Networks
  64. ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent
  65. Improved Focus on Hard Samples for Lung Nodule Detection
  66. Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting
  67. The Shutdown Problem: An AI Engineering Puzzle for Decision Theorists
  68. A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
  69. Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
  70. Low-Resource Court Judgment Summarization for Common Law Systems
  71. Feedback-Generation for Programming Exercises With GPT-4
  72. FRRI: a novel algorithm for fuzzy-rough rule induction
  73. Classist Tools: Social Class Correlates with Performance in NLP
  74. FriendNet: Detection-Friendly Dehazing Network
  75. Cooperative Bayesian Optimization for Imperfect Agents
  76. StableDrag: Stable Dragging for Point-based Image Editing
  77. Boosting Fairness and Robustness in Over-the-Air Federated Learning
  78. On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks
  79. Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series
  80. Sentiment-driven prediction of financial returns: a Bayesian-enhanced FinBERT approach
  81. Promising and worth-to-try future directions for advancing state-of-the-art surrogates methods of agent-based models in social and health computational sciences
  82. Signature Isolation Forest
  83. Exploring Continual Learning of Compositional Generalization in NLI
  84. MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
  85. SGNet: Folding Symmetrical Protein Complex with Deep Learning
  86. Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning
  87. Acceleron: A Tool to Accelerate Research Ideation
  88. Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
  89. Video-Driven Animation of Neural Head Avatars
  90. Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases
  91. Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning
  92. From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction
  93. Learning to Remove Wrinkled Transparent Film with Polarized Prior
  94. Enhancing Court View Generation with Knowledge Injection and Guidance
  95. Multi-step Temporal Modeling for UAV Tracking
  96. Symmetry Considerations for Learning Task Symmetric Robot Policies
  97. Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification
  98. LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
  99. A Novel Theoretical Framework for Exponential Smoothing
  100. Explainable AI for Embedded Systems Design: A Case Study of Static Redundant NVM Memory Write Prediction
  101. ProMoAI: Process Modeling with Generative AI
  102. Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling
  103. Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models
  104. Memetic Differential Evolution Methods for Semi-Supervised Clustering
  105. Discriminative Probing and Tuning for Text-to-Image Generation
  106. Online Adaptation of Language Models with a Memory of Amortized Contexts
  107. Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
  108. Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry
  109. AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
  110. HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild
  111. LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
  112. LitSim: A Conflict-aware Policy for Long-term Interactive Traffic Simulation
  113. A3lign-DFER: Pioneering Comprehensive Dynamic Affective Alignment for Dynamic Facial Expression Recognition with CLIP
  114. MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network
  115. A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking
  116. A New Benchmark for Evaluating Automatic Speech Recognition in the Arabic Call Domain
  117. Active Generalized Category Discovery
  118. Qubit-Wise Architecture Search Method for Variational Quantum Circuits
  119. Competitive Facility Location under Random Utilities and Routing Constraints
  120. Advancing Chinese biomedical text mining with community challenges
  121. Decentralized and Equitable Optimal Transport
  122. Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
  123. UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities
  124. Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations
  125. A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
  126. Regularized DeepIV with Model Selection
  127. Fundamental limits of Non-Linear Low-Rank Matrix Estimation
  128. TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning
  129. Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging
  130. 3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology
  131. Aligners: Decoupling LLMs and Alignment
  132. Self-Evaluation of Large Language Model based on Glass-box Features
  133. Persona Extraction Through Semantic Similarity for Emotional Support Conversation Generation
  134. HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
  135. GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models
  136. ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
  137. CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoors Object Detection from Multi-view Images
  138. Large Language Models are In-Context Molecule Learners
  139. SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising
  140. Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators
  141. YYDS: Visible-Infrared Person Re-Identification with Coarse Descriptions
  142. Regression-aware Inference with LLMs
  143. Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation
  144. Understanding the PULSAR Effect in Combined Radiotherapy and Immunotherapy through Attention Mechanisms with a Transformer Model
  145. Image Coding for Machines with Edge Information Learning Using Segment Anything
  146. SDPL: Shifting-Dense Partition Learning for UAV-View Geo-Localization
  147. ProMISe: Promptable Medical Image Segmentation using SAM
  148. SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
  149. Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
  150. DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning
  151. Dual-path Frequency Discriminators for Few-shot Anomaly Detection
  152. MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
  153. FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
  154. FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
  155. Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning
  156. Unsupervised Learning of Harmonic Analysis Based on Neural HSMM with Code Quality Templates
  157. An Explainable AI Framework for Artificial Intelligence of Medical Things
  158. ComFe: An Interpretable Head for Vision Transformers
  159. Privacy-preserving Fine-tuning of Large Language Models through Flatness
  160. A data-centric approach to class-specific bias in image data augmentation
  161. Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
  162. DNAct: Diffusion Guided Multi-Task 3D Policy Learning
  163. Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs