> For the complete documentation index, see [llms.txt](https://lichangbin.gitbook.io/paper_notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lichangbin.gitbook.io/paper_notes/oct.md).

# Oct

- [Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization](https://lichangbin.gitbook.io/paper_notes/oct/meta-learning-acquisition-functions-for-transfer-learning-in-bayesian-optimization.md): ICLR 20  10-2-2020
- [Network Architecture Search for Domain Adaptation](https://lichangbin.gitbook.io/paper_notes/oct/network-architecture-search-for-domain-adaptation.md): arxiv  10-2-2020
- [Continuous Meta Learning without tasks](https://lichangbin.gitbook.io/paper_notes/oct/continuous-meta-learning-without-tasks.md): NeurIPS 20       10-9-2020
- [Learning Causal Models Online](https://lichangbin.gitbook.io/paper_notes/oct/learning-causal-models-online.md): arxiv   10-9-2020
- [Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples](https://lichangbin.gitbook.io/paper_notes/oct/meta-dataset-a-dataset-of-datasets-for-learning-to-learn-from-few-examples.md): ICLR 20     10-23-2020
- [Conditional Neural Progress (CNPs)](https://lichangbin.gitbook.io/paper_notes/oct/conditional-neural-progress.md): ICML 18   10-23-2020
- [Reviving and Improving Recurrent Back-Propagation](https://lichangbin.gitbook.io/paper_notes/oct/reviving-and-improving-recurrent-back-propagation.md): ICML 18  10-26-2020
- [Meta-Q-Learning](https://lichangbin.gitbook.io/paper_notes/oct/meta-q-learning.md): ICLR 20 (Talk) 10-26-2020
- [Learning Self-train for semi-supervised few shot classification](https://lichangbin.gitbook.io/paper_notes/oct/learning-self-train-for-semi-supervised-few-shot-classification.md): NeurIPS 19  11/3/2020
- [Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards](https://lichangbin.gitbook.io/paper_notes/oct/watch-try-learn-meta-learning-from-demonstrations-and-rewards.md): ICLR 20, 11/3/2020
