mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 8 Feb 2024

272 papers

  1. Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge CachingDeep reinforcement learning methods → RL for energy, networks and operations
  2. Scaling Intelligent Agents in Combat Simulations for WargamingDeep reinforcement learning methods → RL for games and combinatorial optimization
  3. Social Physics Informed Diffusion Model for Crowd SimulationDiffusion models → Diffusion and flow policies for robotics
  4. CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion ModelsDiffusion models → Inverse problems and image restoration
  5. Real-World Fluid Directed Rigid Body Control via Deep Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
  6. Rethinking Data Selection for Supervised Fine-TuningLLM reasoning → Reasoning benchmarks and evaluation
  7. Animated Stickers: Bringing Stickers to Life with Video DiffusionDiffusion models → Video generation
  8. SubGen: Token Generation in Sublinear Time and MemoryEfficient LLM inference and serving → KV cache optimization
  9. DiscDiff: Latent Diffusion Model for DNA Sequence GenerationDiffusion models → Flow matching, time series and science
  10. Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-MakingDeep reinforcement learning methods → RL for games and combinatorial optimization
  11. OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  12. Doing Experiments and Revising Rules with Natural Language and Probabilistic ReasoningLLM reasoning → Test-time compute and efficient thinking
  13. Decision Theory-Guided Deep Reinforcement Learning for Fast LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  14. Exploring Visual Culture Awareness in GPT-4V: A Comprehensive ProbingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  15. InstaGen: Enhancing Object Detection by Training on Synthetic DatasetDiffusion models → Image generation, text-to-image and editing
  16. SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  17. Time Series Diffusion in the Frequency DomainDiffusion models → Diffusion foundations and sampling
  18. Driving Everywhere with Large Language Model Policy AdaptationEnd-to-end autonomous driving → Large language models for driving
  19. An Interactive Agent Foundation ModelLLM agents and tool use → Multimodal and embodied agents
  20. Large Language Model Meets Graph Neural Network in Knowledge DistillationKnowledge distillation → Graph neural network distillation
  21. Mamba-ND: Selective State Space Modeling for Multi-Dimensional DataState-space sequence models (S4, Mamba) → Core SSM architectures for language
  22. CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular FusionLLM reasoning → Multimodal reasoning
  23. Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage SufficesOffline RL and imitation learning from data → Offline RL algorithms
  24. Permute-and-Flip: An optimally stable and watermarkable decoder for LLMsLLM safety and security → Watermarking generated content and models
  25. How Well Can LLMs Negotiate? NegotiationArena Platform and AnalysisLLM agents and tool use → Social simulation and multi-agent debate
  26. Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic SurgeryKnowledge distillation → Distillation for medical imaging
  27. Dirichlet Flow Matching with Applications to DNA Sequence DesignDiffusion models → Flow matching, time series and science
  28. Limitations of Agents Simulated by Predictive ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  29. Discovering Temporally-Aware Reinforcement Learning AlgorithmsDeep reinforcement learning methods → Deep RL algorithms and representations
  30. Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language ModelsLLM safety and security → Machine unlearning
  31. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
  32. AvatarMMC: 3D Head Avatar Generation and Editing with Multi-Modal ConditioningDiffusion models → 3D, point cloud and scene generation
  33. Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel ImagesMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  34. Stable Autonomous Flow MatchingDiffusion models → Flow matching, time series and science
  35. When is Mean-Field Reinforcement Learning Tractable and Relevant?Deep reinforcement learning methods → RL for games and combinatorial optimization
  36. Spirit LM: Interleaved Spoken and Written Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  37. Generalized Preference Optimization: A Unified Approach to Offline AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  38. Editable Scene Simulation for Autonomous Driving via Collaborative LLM-AgentsEnd-to-end autonomous driving → Generative simulation for driving
  39. Real-World Robot Applications of Foundation Models: A ReviewMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  40. TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware SimulationLLM agents and tool use → General LLM agent frameworks and benchmarks
  41. Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RLDeep reinforcement learning methods → RL for games and combinatorial optimization
  42. In-Context Learning Can Re-learn Forbidden TasksLLM safety and security → Safety alignment, refusal and guardrails
  43. DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion TransformerDiffusion models → Audio, speech and music
  44. Self-Alignment of Large Language Models via Monopolylogue-based Social Scene SimulationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  45. JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMsLLM safety and security → Jailbreaking
  46. Improving Token-Based World Models with Parallel Observation PredictionWorld models → Latent dynamics models and model-based RL
  47. Scalable Diffusion Models with State Space BackboneDiffusion models → Diffusion foundations and sampling
  48. AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for TransformersLLM reasoning → Test-time compute and efficient thinking
  49. Offline Actor-Critic Reinforcement Learning Scales to Large ModelsOffline RL and imitation learning from data → Offline RL algorithms
  50. FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated LearningDeep reinforcement learning methods → RL for energy, networks and operations
  51. Buffer Overflow in Mixture of ExpertsMixture-of-experts → Expert routing strategies
  52. Differentially Private Deep Model-Based Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
  53. Multi-Timescale Ensemble Q-learning for Markov Decision Process Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  54. Question Aware Vision Transformer for Multimodal ReasoningLLM reasoning → Multimodal reasoning
  55. Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and EchopraxiaLLM safety and security → Jailbreaking
  56. Mitigating Privacy Risk in Membership Inference by Convex-Concave LossLLM safety and security → Membership inference attacks
  57. Improving Agent Interactions in Virtual Environments with Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents
  58. Learning Uncertainty-Aware Temporally-Extended ActionsDeep reinforcement learning methods → Deep RL algorithms and representations
  59. DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  60. Task-customized Masked AutoEncoder via Mixture of Cluster-conditional ExpertsMixture-of-experts → Vision mixture-of-experts
  61. Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  62. Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  63. CIC: A Framework for Culturally-Aware Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  64. Noise Contrastive Alignment of Language Models with Explicit RewardsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  65. Descanning: From Scanned to the Original Images with a Color Correction Diffusion ModelDiffusion models → Inverse problems and image restoration
  66. LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge
  67. Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
  68. Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
  69. Deepfake Detection and the Impact of Limited Computing Capabilities
  70. Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning
  71. Savvy: Trustworthy Autonomous Vehicles Architecture
  72. Text Role Classification in Scientific Charts Using Multimodal Transformers
  73. Advances and Limitations in Open Source Arabic-Script OCR: A Case Study
  74. Text2Data: Low-Resource Data Generation with Textual Control
  75. Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application
  76. Mixture-Models: a one-stop Python Library for Model-based Clustering using various Mixture Models
  77. Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
  78. Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study
  79. A Novel Approach to WaveNet Architecture for RF Signal Separation with Learnable Dilation and Data Augmentation
  80. Unsupervised learning based end-to-end delayless generative fixed-filter active noise control
  81. LLMs Among Us: Generative AI Participating in Digital Discourse
  82. UFO: A UI-Focused Agent for Windows OS Interaction
  83. Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
  84. HistoHDR-Net: Histogram Equalization for Single LDR to HDR Image Translation
  85. Neural Models for Source Code Synthesis and Completion
  86. A Study on Stock Forecasting Using Deep Learning and Statistical Models
  87. Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results
  88. Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal
  89. Sound Source Separation Using Latent Variational Block-Wise Disentanglement
  90. Private Knowledge Sharing in Distributed Learning: A Survey
  91. Gradient Aligned Regression via Pairwise Losses
  92. Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning
  93. TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
  94. CLIP-Loc: Multi-modal Landmark Association for Global Localization in Object-based Maps
  95. Early Fusion of Features for Semantic Segmentation
  96. Descriptive Kernel Convolution Network with Improved Random Walk Kernel
  97. Rhizomes and Diffusions for Processing Highly Skewed Graphs on Fine-Grain Message-Driven Systems
  98. Gaussian Mixture Models for Affordance Learning using Bayesian Networks
  99. LightCAM: A Fast and Light Implementation of Context-Aware Masking based D-TDNN for Speaker Verification
  100. 3D-2D Neural Nets for Phase Retrieval in Noisy Interferometric Imaging
All 272
  1. Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge
  2. ActiveDP: Bridging Active Learning and Data Programming
  3. Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language Models
  4. Intelligent Mode-switching Framework for Teleoperation
  5. Anatomy of a Robotaxi Crash: Lessons from the Cruise Pedestrian Dragging Mishap
  6. Direct Acquisition Optimization for Low-Budget Active Learning
  7. A Prompt Response to the Demand for Automatic Gender-Neutral Translation
  8. Understanding Contrastive Representation Learning from Positive Unlabeled (PU) Data
  9. Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
  10. An Inexact Halpern Iteration with Application to Distributionally Robust Optimization
  11. An operator learning perspective on parameter-to-observable maps
  12. Game-theoretic Counterfactual Explanation for Graph Neural Networks
  13. Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration
  14. Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software
  15. NPSVC++: Nonparallel Classifiers Encounter Representation Learning
  16. Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy
  17. Capability enhancement of the X-ray micro-tomography system via ML-assisted approaches
  18. Decoupled Sequence and Structure Generation for Realistic Antibody Design
  19. Anatomizing Deep Learning Inference in Web Browsers
  20. Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
  21. Classifying Nodes in Graphs without GNNs
  22. WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
  23. Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
  24. On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
  25. Collaborative Control for Geometry-Conditioned PBR Image Generation
  26. Point-VOS: Pointing Up Video Object Segmentation
  27. GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory
  28. Efficient Stagewise Pretraining via Progressive Subnetworks
  29. Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
  30. FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
  31. ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation
  32. EUGENE: Explainable Structure-aware Graph Edit Distance Estimation with Generalized Edit Costs
  33. Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking
  34. Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
  35. Adaptive Surface Normal Constraint for Geometric Estimation from Monocular Images
  36. EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
  37. Let Your Graph Do the Talking: Encoding Structured Data for LLMs
  38. Memory Consolidation Enables Long-Context Video Understanding
  39. Learning to Route Among Specialized Experts for Zero-Shot Generalization
  40. How Much is Unseen Depends Chiefly on Information About the Seen
  41. Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
  42. On the Robustness of Editing Large Language Models
  43. FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting
  44. Guided Evolution with Binary Discriminators for ML Program Search
  45. Integrating Self-supervised Speech Model with Pseudo Word-level Targets from Visually-grounded Speech Model
  46. Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging
  47. FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension
  48. You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement
  49. On Temperature Scaling and Conformal Prediction of Deep Classifiers
  50. InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write
  51. Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
  52. TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning
  53. Phonetically rich corpus construction for a low-resourced language
  54. How do Transformers perform In-Context Autoregressive Learning?
  55. Prompting Fairness: Artificial Intelligence as Game Players
  56. Limits of Transformer Language Models on Learning to Compose Algorithms
  57. Text-to-Code Generation with Modality-relative Pre-training
  58. Analysing the Sample Complexity of Opponent Shaping
  59. UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery
  60. Off-policy Distributional Q(λ): Distributional RL without Importance Sampling
  61. Latent variable model for high-dimensional point process with structured missingness
  62. Jacquard V2: Refining Datasets using the Human In the Loop Data Correction Method
  63. Implicit Bias and Fast Convergence Rates for Self-attention
  64. CTGAN: Semantic-guided Conditional Texture Generator for 3D Shapes
  65. Exact capacity of the wide hidden layer treelike neural networks with generic activations
  66. REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
  67. Collaborative non-parametric two-sample testing
  68. Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations
  69. Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation
  70. Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming
  71. Fixed width treelike neural networks capacity analysis -- generic activations
  72. Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits
  73. An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
  74. Interpretable classifiers for tabular data via discretization and feature selection
  75. Is Adversarial Training with Compressed Datasets Effective?
  76. A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
  77. Multilingual E5 Text Embeddings: A Technical Report
  78. SOmegaI: Score-based O-INFORMATION Estimation
  79. Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
  80. Rethinking Propagation for Unsupervised Graph Domain Adaptation
  81. Real-time Holistic Robot Pose Estimation with Unknown States
  82. Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks
  83. Investigating Reproducibility in Deep Learning-Based Software Fault Prediction
  84. FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object
  85. An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-ES
  86. Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
  87. Learning pseudo-contractive denoisers for inverse problems
  88. The Impact of AI Tool on Engineering at ANZ Bank An Empirical Study on GitHub Copilot within Corporate Environment
  89. Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations
  90. RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization
  91. Binding Dynamics in Rotating Features
  92. Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
  93. Efficient Models for the Detection of Hate, Abuse and Profanity
  94. Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings
  95. Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks
  96. DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
  97. Extending 6D Object Pose Estimators for Stereo Vision
  98. Optimizing Delegation in Collaborative Human-AI Hybrid Teams
  99. A Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only
  100. SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
  101. RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
  102. AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes
  103. Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs
  104. Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models
  105. Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces
  106. Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
  107. Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
  108. Training-Free Message Passing for Learning on Hypergraphs
  109. Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction
  110. Succinct Interaction-Aware Explanations
  111. Neural Multigrid Architectures
  112. Flashback: Understanding and Mitigating Forgetting in Federated Learning
  113. On Convolutional Vision Transformers for Yield Prediction
  114. One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning
  115. Learning quantum Hamiltonians at any temperature in polynomial time with Chebyshev and bit complexity
  116. Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction
  117. Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset
  118. Named Entity Recognition for Address Extraction in Speech-to-Text Transcriptions Using Synthetic Data
  119. Machine learning applied to omics data
  120. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts
  121. NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction
  122. Asynchronous Diffusion Learning with Agent Subsampling and Local Updates
  123. Linearizing Models for Efficient yet Robust Private Inference
  124. Can ChatGPT evaluate research quality?
  125. NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning
  126. GPTs Are Multilingual Annotators for Sequence Generation Tasks
  127. Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
  128. Heart disease risk prediction using deep learning techniques with feature augmentation
  129. Investigating White-Box Attacks for On-Device Models
  130. Determining the severity of Parkinson's disease in patients using a multi task neural network
  131. Leveraging AI for Enhanced Software Effort Estimation: A Comprehensive Study and Framework Proposal
  132. A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals
  133. Implicit Diffusion: Efficient Optimization through Stochastic Sampling
  134. It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
  135. Large Language Models for Psycholinguistic Plausibility Pretesting
  136. Low-degree phase transitions for detecting a planted clique in sublinear time
  137. Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application
  138. Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
  139. Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
  140. Spiking Neural Network Enhanced Hand Gesture Recognition Using Low-Cost Single-photon Avalanche Diode Array
  141. GPT-4 Generated Narratives of Life Events using a Structured Narrative Prompt: A Validation Study
  142. Mixture Density Networks for Classification with an Application to Product Bundling
  143. A Sampling Theory Perspective on Activations for Implicit Neural Representations
  144. Neural Circuit Diagrams: Robust Diagrams for the Communication, Implementation, and Analysis of Deep Learning Architectures
  145. MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network
  146. Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems
  147. Segmentation-free Connectionist Temporal Classification loss based OCR Model for Text Captcha Classification
  148. SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector
  149. MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis
  150. Version age-based client scheduling policy for federated learning
  151. Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
  152. In-Context Principle Learning from Mistakes
  153. Adaptive Activation Functions for Predictive Modeling with Sparse Experimental Data
  154. Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions
  155. CURE: Simulation-Augmented Auto-Tuning in Robotics
  156. On the Effect of Image Resolution on Semantic Segmentation
  157. TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
  158. Enhancing Zero-shot Counting via Language-guided Exemplar Learning
  159. Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
  160. Trade-Offs of Diagonal Fisher Information Matrix Estimators
  161. Graph Neural Networks for Physical-Layer Security in Multi-User Flexible-Duplex Networks
  162. Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (GOAT) for Whole Slide Histopathology Image Analysis
  163. Reduced-order modeling of unsteady fluid flow using neural network ensembles
  164. Attention as Robust Representation for Time Series Forecasting
  165. Principled Preferential Bayesian Optimization
  166. An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
  167. Exploring Learning Complexity for Efficient Downstream Dataset Pruning
  168. A Survey on Safe Multi-Modal Learning System
  169. Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels
  170. Constructing a Real-World Benchmark for Early Wildfire Detection with the New PYRONEAR-2025 Dataset
  171. Knowledge-Centric Metacognitive Learning
  172. Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference