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cs.LG updates on arXiv.org

PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models Rethinking Uncertainty in Segmentation: From Estimation to Decision DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training Context Sensitivity Improves Human-Machine Visual Alignment Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection Automatic Charge State Tuning of 300 mm FDSOI Quantum Dots Using Neural Network Segmentation of Charge Stability Diagram ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection Visual Sparse Steering (VS2): Unsupervised Adaptation for Image Classification using Sparsity-Guided Steering Vectors Frozen Forecasting: A Unified Evaluation Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning AudioX: A Unified Framework for Anything-to-Audio Generation The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems Heavy-Tailed Class-Conditional Priors for Long-Tailed Generative Modeling A Function-Centric Perspective on Flat and Sharp Minima A Faster Path to Continual Learning Spatial Atlas: Compute-Grounded Reasoning for Spatial-Aware Research Agent Benchmarks Selectivity and Shape in the Design of Forward-Forward Goodness Functions The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments Design Conditions for Intra-Group Learning of Sequence-Level Rewards: Token Gradient Cancellation Spectral Entropy Collapse as a Phase Transition in Delayed Generalisation: An Interventional and Predictive Framework for Grokkin Synthetic Tabular Generators Fail to Preserve Behavioral Fraud Patterns: A Benchmark on Temporal, Velocity, and Multi-Account Signals Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs Does Dimensionality Reduction via Random Projections Preserve Landscape Features? Analog Optical Inference on Million-Record Mortgage Data Out of Context: Reliability in Multimodal Anomaly Detection Requires Contextual Inference Bias-Corrected Adaptive Conformal Inference for Multi-Horizon Time Series Forecasting Counterfactual Peptide Editing for Causal TCR--pMHC Binding Inference Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation Enhancing Confidence Estimation in Telco LLMs via Twin-Pass CoT-Ensembling MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models Physics-informed reservoir characterization from bulk and extreme pressure events with a differentiable simulator Some Theoretical Limitations of t-SNE Concrete Jungle: Towards Concreteness Paved Contrastive Negative Mining for Compositional Understanding Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models When Less Latent Leads to Better Relay: Information-Preserving Compression for Latent Multi-Agent LLM Collaboration BioTrain: Sub-MB, Sub-50mW On-Device Fine-Tuning for Edge-AI on Biosignals Diffusion Sequence Models for Generative In-Context Meta-Learning of Robot Dynamics Linear Probe Accuracy Scales with Model Size and Benefits from Multi-Layer Ensembling Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models Minimax Optimality and Spectral Routing for Majority-Vote Ensembles under Markov Dependence WIN-U: Woodbury-Informed Newton-Unlearning as a retain-free Machine Unlearning Framework A KL Lens on Quantization: Fast, Forward-Only Sensitivity for Mixed-Precision SSM-Transformer Models FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction Outperforming Self-Attention Mechanisms in Solar Irradiance Forecasting via Physics-Guided Neural Networks Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning Adaptive Unknown Fault Detection and Few-Shot Continual Learning for Condition Monitoring in Ultrasonic Metal Welding Universality of Gaussian-Mixture Reverse Kernels in Conditional Diffusion Computational framework for multistep metabolic pathway design Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus Monthly Diffusion v0.9: A Latent Diffusion Model for the First AI-MIP Chain of Uncertain Rewards with Large Language Models for Reinforcement Learning SFT-GRPO Data Overlap as a Post-Training Hyperparameter for Autoformalization Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning LEGO-MOF: Equivariant Latent Manipulation for Editable, Generative, and Optimizable MOF Design C-voting: Confidence-Based Test-Time Voting without Explicit Energy Functions Learning Inference Concurrency in DynamicGate MLP Structural and Mathematical Justification Parameter-efficient Quantum Multi-task Learning Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges Design Space Exploration of Hybrid Quantum Neural Networks for Chronic Kidney Disease Golden Handcuffs make safer AI agents Self-Organizing Maps with Optimized Latent Positions (How) Learning Rates Regulate Catastrophic Overtraining Ordinary Least Squares is a Special Case of Transformer A Bayesian Framework for Uncertainty-Aware Explanations in Power Quality Disturbance Classification Optimization with SpotOptim Physics-Informed Neural Networks for Solving Derivative-Constrained PDEs Jump-Start Reinforcement Learning with Vision-Language-Action Regularization Spectral Thompson sampling Online learning with noisy side observations Soft $Q(\lambda)$: A multi-step off-policy method for entropy regularised reinforcement learning using eligibility traces Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning Robust Ultra Low-Bit Post-Training Quantization via Stable Diagonal Curvature Estimate Composite Silhouette: A Subsampling-based Aggregation Strategy RPS: Information Elicitation with Reinforcement Prompt Selection UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization Beyond State Consistency: Behavior Consistency in Text-Based World Models SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention Simulation-Based Optimisation of Batting Order and Bowling Plans in T20 Cricket Hardware-Efficient Neuro-Symbolic Networks with the Exp-Minus-Log Operator Drowsiness-Aware Adaptive Autonomous Braking System based on Deep Reinforcement Learning for Enhanced Road Safety Evaluating Supervised Machine Learning Models: Principles, Pitfalls, and Metric Selection MolCryst-MLIPs: A Machine-Learned Interatomic Potentials Database for Molecular Crystals DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off
Online Shift Detection and Conformal Adaptation for Deployed Safety Classifiers
[Submitted on 10 Jun 2026] · 2026-06-11 · via cs.LG updates on arXiv.org
arXiv:2606.11949v1 Announce Type: new Abstract: We present an online monitoring system for distributional shi…