> 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/sep.md).

# Sep

- [Incremental Few Shot Learning with Attention Attractor Network](https://lichangbin.gitbook.io/paper_notes/sep/incremental-few-shot-learning-with-attention-attractor-network.md): NeurIPS 2019           9/7/2020
- [Learning Steady-States of Iterative Algorithms over Graphs](https://lichangbin.gitbook.io/paper_notes/sep/learning-steady-states-of-iterative-algorithms-over-graphs.md): ICML 2018                  9/15/2020
- [Experiments](https://lichangbin.gitbook.io/paper_notes/sep/learning-steady-states-of-iterative-algorithms-over-graphs/experiments.md)
- [Learning combinatorial optimization algorithms over graphs](https://lichangbin.gitbook.io/paper_notes/sep/learning-combinatorial-optimization-algorithms-over-graphs.md): NIPS 2017    9-22-2020
- [Meta-Learning with Shared Amortized Variational Inference](https://lichangbin.gitbook.io/paper_notes/sep/meta-learning-with-shared-amortized-variational-inference.md): (ICML 2020)
- [Concept Learners for Generalizable Few-Shot Learning](https://lichangbin.gitbook.io/paper_notes/sep/concept-learners-for-generalizable-few-shotlearning.md)
- [Progressive Graph Learning for Open-Set Domain Adaptation](https://lichangbin.gitbook.io/paper_notes/sep/progressive-graph-learning-for-open-set-domain-adaptation.md)
- [Probabilistic Neural Architecture Search](https://lichangbin.gitbook.io/paper_notes/sep/probabilistic-neural-architecture-search.md)
- [Large-Scale Long-Tailed Recognition in an Open World](https://lichangbin.gitbook.io/paper_notes/sep/large-scale-long-tailed-recognition-in-an-open-world.md): 9-25-2020
- [Learning to stop while learning to predict](https://lichangbin.gitbook.io/paper_notes/sep/learning-to-stop-while-learning-to-predict.md): ICML2020   9-25-2020
- [Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift](https://lichangbin.gitbook.io/paper_notes/sep/adaptive-risk-minimization-a-meta-learning-approach-for-tackling-group-shift.md): 9-28-2020
- [Learning to Generalize: Meta-Learning for Domain Generalization](https://lichangbin.gitbook.io/paper_notes/sep/learning-to-generalize-meta-learning-for-domain-generalization.md): AAAI-18    9-28-2020