Reading group

Aug 16, 2021	Optimal Transport for structured data with application on graphs. ICML, 2019. Speaker: Xuehan Chen [slides] [notes]
Aug 9, 2021	Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions. ICLR, 2019. Speaker: Jiaxin Liu [slides] [notes]
Aug 2, 2021	Theoretically Principled Trade-off between Robustness and Accuracy. ICML, 2019. Speaker: Chao Chen [slides] [notes]
Jul 27, 2021	Gromov-wasserstein learning for graph matching and node embedding. ICML, 2019. Speaker: Xuehan Chen [slides] [notes]
Jul 12, 2021	Mixup for Node and Graph Classification. WWW, 2021. Speaker: Jiaxin Liu [slides] [notes]
Jul 5, 2021	Deep learning via Hessian-free optimization. ICML, 2010. Speaker: Chao Chen [slides] [notes]
Jun 28, 2021	Graph Optimal Transport for Cross-Domain Alignment. ICML, 2020. Speaker: Xuehan Chen [slides]
Jun 21, 2021	Fair Mixup: Fairness via Interpolation. ICLR, 2021. Speaker: Jiaxin Liu [slides]
Jun 14, 2021	Deep Graph Infomax. ICLR, 2019. Speaker: Chao Chen [slides]
May 31, 2021	A Graph to Graphs Framework for Retrosynthesis Prediction. ICML, 2020 Speaker: Xuehan Chen [slides]
May 24, 2021	On the Global Optimality of Model-Agnostic Meta-Learning. ICML, 2020 Speaker: Jiaxin Liu [slides]
May 10, 2021	On the (In)fidelity and Sensitivity of Explanations. Neurips, 2019 Speaker: Chao Chen [slides]
Apr 26, 2021	Graph Matching Networks for Learning the Similarity of Graph Structured Objects. ICML, 2019 Speaker: Xuehan Chen [slides]
Apr 19, 2021	Few-shot Domain Adaptation by Causal Mechanism Transfer. ICML, 2020. Speaker: Jiaxin Liu [slides]
Apr 12, 2021	Fooling Neural Network Interpretations via Adversarial Model Manipulation. Neurips, 2019. Speaker: Chao Chen [slides]