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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks AAAI 2026

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

Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning AAAI 2026

Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation AAAI 2026

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

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

Teaching Small Language Models to Learn Logic through Meta-Learning EACL 2026

Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation AAAI 2026

Towards Robust Edge Model Adaptation via Elastic Architecture Search AAAI 2026

Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts AAAI 2026

Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation AAAI 2026

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

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

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

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

Is This LLM Library Learning? Evaluation Must Account For Compute and Behaviour EACL 2026

Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape AAAI 2026

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation AAAI 2026

Meta Dynamic Graph for Traffic Flow Prediction AAAI 2026

MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation AAAI 2026

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026

Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026

DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation AAAI 2026

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

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