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Meta-Learning

1524 directly classified papers

Papers per year

Papers

NAPP: Noise-Adaptive Prototype Perturbation for Few-Shot Learning WACV 2026

Learning Through Concepts: Hierarchies, Logic and Reasoning AAAI 2026

Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract) AAAI 2026

Learngene: Inheritable ‘Genes’ in Intelligent Agents (Abstract Reprint) AAAI 2026

MAGIC VFM-Meta-Learning Adaptation for Ground Interaction Control with Visual Foundation Models (Abstract Reprint) AAAI 2026

RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials AAAI 2026

Budgeted Online Active Learning with Expert Advice and Episodic Priors AAAI 2026

First-Order Representation Languages for Goal-Conditioned RL AAAI 2026

MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization AAAI 2026

Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA AAAI 2026

LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data AAAI 2026

Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering AAAI 2026

MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization AAAI 2026

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models AAAI 2026

HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing AAAI 2026

Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement AAAI 2026

Facilitating Early Maladaptive Schema–Guided Polite and Empathetic Psychotherapeutic Support: An LLM-Driven MoE-RL-Based Dialogue System AAAI 2026

HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition AAAI 2026

ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading AAAI 2026

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026

Multi-Objective Bilevel Learning AAAI 2026

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference AAAI 2026

CoRE-Learning with Look-Ahead and Immediate Resource Allocation AAAI 2026

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026

Discovering Mixture Skills for Unsupervised Reinforcement Learning AAAI 2026