- GitHub Link: [sudharsan13296/Awesome-Meta-Learning].
- [2019 ICML Tutorial] Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning, [homepage], [slides].
- [2018 CVPR] Zero-Shot Visual Recognition using Semantics-Preserving, [paper], [bibtex], sources: [zjuchenlong/sp-aen.cvpr18].
- [2019 ArXiv] Few-Shot Text Classification with Induction Network, [paper], [bibtex].
- [2019 CVPR] Meta-Transfer Learning for Few-Shot Learning, [paper], [bibtex], sources: [yaoyao-liu/meta-transfer-learning].
- [2019 NeurIPS] Learning to Self-Train for Semi-Supervised Few-Shot Classification, [paper], [bibtex], sources: [xinzheli1217/learning-to-self-train].
- [2020 AAAI] Meta-Learning for Generalized Zero-Shot Learning, [paper], [bibtex].
- [2020 NeurIPS] Interventional Few-Shot Learning, [paper], [bibtex], sources: [yue-zhongqi/ifsl].
- [2021 ICLR] Self-Training for Few-Shot Transfer Across Extreme Task Differences, [paper], [bibtex].
- [2016 ICML] Meta-Learning with Memory-Augmented Neural Networks, [paper], [bibtex], [supplementary], sources: [snowkylin/ntm], [ywatanabex/ntm-meta-learning].
- [2017 ICML] Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks, [paper], [bibtex], [blog], sources: [cbfinn/maml], [cbfinn/maml_rl], [dragen1860/MAML-Pytorch], [tristandeleu/pytorch-maml-rl], [katerakelly/pytorch-maml], [learnables/learn2learn].
- [2018 ArXiv] On First-Order Meta-Learning Algorithms, [paper], [bibtex], sources: [openai/supervised-reptile], [greentfrapp/maml-reptile].
- [2018 ICLR] A Simple Neural Attentive Meta-Learner, [paper], [bibtex], sources: [eambutu/snail-pytorch], [sagelywizard/snail].
- [2019 EMNLP] Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks, [paper], [bibtex], [supplementary].
- [2020 ICLR] Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks, [paper], [bibtex], sources: [haebeom-lee/l2b].