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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
Discovering Options That Minimize Average Planning Time
AAAI 2025
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
AAAI 2025
Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks
ACL 2025
Domain Pre-training Impact on Representations
EMNLP 2025
Mixtures of In-Context Learners
ACL 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
AAAI 2025
Task-driven Image Fusion with Learnable Fusion Loss
CVPR 2025
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
AAAI 2025
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
CVPR 2025
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
AAAI 2025
HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks
CVPR 2025
Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
CVPR 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
JMLR 2025
Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training
ICCV 2025
Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract)
AAAI 2025
Efficiently Escaping Saddle Points in Bilevel Optimization
JMLR 2025
Data-Driven Performance Guarantees for Classical and Learned Optimizers
JMLR 2025
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation
JMLR 2025
DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning
WACV 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
EMNLP 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
EMNLP 2025
Rapid Word Learning Through Meta In-Context Learning
EMNLP 2025
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
EMNLP 2025
Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement
ACL 2025
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
AAAI 2025
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