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Meta-Learning
357 directly classified papers
Papers per year
2006: 1
2008: 1
2012: 1
2014: 2
2016: 3
2017: 3
2018: 12
2019: 27
2020: 38
2021: 67
2022: 65
2023: 51
2024: 49
2025: 30
2026: 7
Papers
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
NIPS 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
IJCAI 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
AAAI 2024
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning
WACV 2024
Meta Learning in Bandits within shared affine Subspaces
AISTATS 2024
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
EMNLP 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
NIPS 2024
Visually Guided Audio Source Separation With Meta Consistency Learning
WACV 2024
GRADUAL: Granularity-aware Dual Prototype Learning for Better Few-Shot Relation Extraction
ACL 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
NIPS 2024
AlphaMath Almost Zero: Process Supervision without Process
NIPS 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
NIPS 2024
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
AAAI 2024
Fairness-Aware Meta-Learning via Nash Bargaining
NIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
NIPS 2024
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training
AAAI 2024
Neuroevolution of a Multi-Generator GAN (Student Abstract)
AAAI 2024
Symbolic Regression with a Learned Concept Library
NIPS 2024
Learning to Defer to a Population: A Meta-Learning Approach
AISTATS 2024
On task-relevant loss functions in meta-reinforcement learning
L4DC 2024
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
ACL 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning
NIPS 2024
Noise-Aware Differentially Private Regression via Meta-Learning
NIPS 2024
IAD: In-Context Learning Ability Decoupler of Large Language Models in Meta-Training
COLING 2024
VRP-SAM: SAM with Visual Reference Prompt
CVPR 2024
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