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Machine Learning
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Learning Paradigms
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Meta-Learning
722 directly classified papers
Papers per year
2008: 1
2009: 1
2010: 4
2011: 1
2012: 2
2013: 1
2014: 2
2015: 1
2016: 1
2017: 8
2018: 25
2019: 52
2020: 95
2021: 117
2022: 135
2023: 104
2024: 97
2025: 70
2026: 5
Papers
PLAES: Prompt-generalized and Level-aware Learning Framework for Cross-prompt Automated Essay Scoring
COLING 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
NIPS 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
AAAI 2024
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
AAAI 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
NIPS 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
IJCAI 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
AAAI 2024
Learning Not to Regret
AAAI 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
NIPS 2024
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks
AAAI 2024
Scaling Few-Shot Learning for the Open World
AAAI 2024
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
NIPS 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
IJCAI 2024
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification
AAAI 2024
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training
AAAI 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NIPS 2024
Any-Way Meta Learning
AAAI 2024
Zero-Shot Task Adaptation with Relevant Feature Information
AAAI 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NIPS 2024
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
AAAI 2024
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
AAAI 2024
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
AAAI 2024
On task-relevant loss functions in meta-reinforcement learning
L4DC 2024
Learning Quality Labels for Robust Image Classification
WACV 2024
Meta-Reinforcement Learning via Exploratory Task Clustering
AAAI 2024
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