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Meta-Learning

1524 directly classified papers

Papers per year

Papers

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

Towards Robust Edge Model Adaptation via Elastic Architecture Search 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

Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms AAAI 2026

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

Meta Dynamic Graph for Traffic Flow Prediction AAAI 2026

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

Zero-Shot Open-Vocabulary Human Motion Grounding with Test-Time Training AAAI 2026

LeanTutor: Towards a Verified AI Mathematical Proof Tutor AAAI 2026

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning AAAI 2026

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving AAAI 2026

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

MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation AAAI 2026

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

More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026

Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract) 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

MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios AAAI 2026

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

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

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

Security Games with Layered Defenses: Adaptive Adversaries and Gittins Indices AAAI 2026

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