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Learning Paradigms
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Meta-Learning
1524 directly classified papers
Papers per year
2003: 1
2005: 1
2006: 1
2007: 2
2008: 2
2009: 1
2010: 1
2011: 2
2012: 1
2013: 4
2014: 4
2015: 3
2016: 9
2017: 25
2018: 46
2019: 121
2020: 167
2021: 260
2022: 220
2023: 240
2024: 201
2025: 157
2026: 55
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
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