Meta-Learning
1,038 papers
Papers per year
1
2
1
4
1
3
1
3
1
4
10
37
75
127
168
183
157
143
99
18
'10
'15
'20
'25
Papers
Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks
ACL 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
AAAI 2025
Augmenting Online Algorithms for Knapsack Problem with Total Weight Information
AAAI 2025
AutoMixer: Checkpoint Artifacts as Automatic Data Mixers
ACL 2025
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
AAAI 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
CVPR 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
JMLR 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
EMNLP 2025
Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract)
AAAI 2025
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation
AAAI 2025
Data-Driven Performance Guarantees for Classical and Learned Optimizers
JMLR 2025
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
ACL 2025
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
ICCV 2025
Discovering Options That Minimize Average Planning Time
AAAI 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
JMLR 2025
DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning
WACV 2025
Domain Pre-training Impact on Representations
EMNLP 2025
Dual Reciprocal Learning of Language-based Human Motion Understanding and Generation
ICCV 2025
Efficient Cross-Episode Meta-RL
ICLR 2025
Efficiently Escaping Saddle Points in Bilevel Optimization
JMLR 2025
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World
AAAI 2025
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
AAAI 2025
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
EMNLP 2025
EvoCL: Continual Learning over Evolving Domains
WACV 2025
Evolutionary Large Language Model for Automated Feature Transformation
AAAI 2025