Machine Learning

ACRM: Multi-Agent Trajectory Learning for Automated Credit Risk Model Refreshing in Production ACL 2026 Action-and-object Aware Alignment for Partially Relevant Video Retrieval AAAI 2026 ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models AAAI 2026 Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs AAAI 2026 Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models AAAI 2026 Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations AAAI 2026 Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks AAAI 2026 Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification AAAI 2026 ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving CVPR 2026 Active Constraint Learning in High Dimensions from Demonstrations L4DC 2026 Active Generalized Category Discovery with Diverse LLM Feedback EACL 2026 ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model CVPR 2026 Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling AAAI 2026 Active Learning for Corpus Refinement: Cost-Effective Preprocessing to Improve Validity of Applied Quantitative Text Analysis EACL 2026 Active Learning of Symbolic Automata over Rational Numbers AAAI 2026 Active Learning on Adversarially Corrupted Graphs COLT 2026 Active Learning with Non-Uniform Costs for African Natural Language Processing EACL 2026 Actively Learning Halfspaces without Synthetic Data COLT 2026 Active Multi-source Domain Adaptation for Multimodal Fake News Detection AAAI 2026 ACuRE: Accurate Continuity-Regularized SpO2 Estimation Using Liquid Time-Constant Networks WACV 2026 AD2: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems WACV 2026 AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting AAAI 2026 AdaDepth: Exploiting Inherent Scene Information for Self-Supervised Depth Estimation in Dynamic Scenes AAAI 2026 AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation AAAI 2026 AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization AAAI 2026