Machine Learning

A Dataset and Framework for Learning State-invariant Object Representations WACV 2026 Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Addressing Polarization and Unfairness in Performative Prediction AAAI 2026 A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements UAI 2026 AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization AAAI 2026 A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning AAAI 2026 A Differential Perspective on Distributional Reinforcement Learning AAAI 2026 A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation AAAI 2026 A Distribution Testing Approach to Clustering Distributions COLT 2026 Advanced Black-Box Tuning of Large Language Models with Limited API Calls AAAI 2026 Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses UAI 2026 Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026 Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization AAAI 2026 Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards AAAI 2026 AdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment AAAI 2026 Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation AAAI 2026 Adversarial Decoding: Generating Readable Documents for Adversarial Objectives EACL 2026 Adversarial Fair Incomplete Multi-View Clustering AAAI 2026 Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles AAAI 2026 Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret COLT 2026 Adversarially Robust Multitask Adaptive Control L4DC 2026 Adversarial Metric Learning for Fine-Grained Emotion Classification ACL 2026 Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models AAAI 2026 Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning WACV 2026 AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection AAAI 2026