Meta-Learning

Learngene: Inheritable ‘Genes’ in Intelligent Agents (Abstract Reprint) AAAI 2026 Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract) AAAI 2026 Learning Through Concepts: Hierarchies, Logic and Reasoning AAAI 2026 Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning AAAI 2026 Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation AAAI 2026 Learning to Learn Weight Generation via Local Consistency Diffusion CVPR 2026 Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation AAAI 2026 LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration AAAI 2026 M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference AAAI 2026 MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization ACL 2026 MAGIC VFM-Meta-Learning Adaptation for Ground Interaction Control with Visual Foundation Models (Abstract Reprint) AAAI 2026 MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation AAAI 2026 Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA AAAI 2026 Meta Dynamic Graph for Traffic Flow Prediction AAAI 2026 MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization AAAI 2026 MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization AAAI 2026 Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract) AAAI 2026 MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning AAAI 2026 Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks AAAI 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios AAAI 2026 Multi-Objective Bilevel Learning AAAI 2026 NAPP: Noise-Adaptive Prototype Perturbation for Few-Shot Learning WACV 2026 Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026 Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models AAAI 2026