Here is the schedule of presenting in the reading group.
| Date | Presenter | Paper |
|---|---|---|
| 3-23 | 张洋 | Counterfactual Zero-Shot and Open-Set Visual Recognition |
| 3-30 | 王文杰 | Causal Attention for Vision-Language Tasks |
| 4-06 | 王晨旭 | Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models |
| 4-13 | 张及之 | Distilling Causal Effect of Data in Class-Incremental Learning |
| 4-20 | 吴颖馨 | delta-CLUE: Divere Sets of Explanations for Uncertainty Estimates |
| 4-27 | 邓讯 | Algorithmic Recourse: from Counterfactual Explanations to Interventions |
| 5-04 | Holiday | Pass |
| 5-11 | 朱心远 | |
| 5-18 | NeurIPS deadline | Pass |
| 5-25 | NeurIPS deadline | Pass |
| 6-01 | 石文焘 | |
| 6-08 | 董汉德 | |
| 6-15 | 魏天心 | |
| 6-22 | 王禹 | |
| 6-29 | 丁斯昊 | |
| 7-06 | 陈佳佳 | |
| 7-13 | 傅天任 | |
| 7-20 | 叶坚白 | |
| 7-27 | ||
| 8-03 | ||
| :-----------: | :-----------: | :-----------: |
| Date | Presenter | Paper |
|---|---|---|
| 27 Sep 2020 | 董汉德 | Learning Stable Graphs from Multiple Environments with Selection Bias (2020KDD) |
| 04 Oct 2020 | Holiday | Pass |
| 11 Oct 2020 | WWW | Pass |
| 18 Oct 2020 | WWW | Pass |
| 25 Oct 2020 | 吴颖馨 | Causal Interpretability for Machine Learning-Problems, Methods and Evaluation |
| 01 Nov 2020 | Group Activity | Pass |
| 08 Nov 2020 | 张洋 | Visual Commonsense R-CNN |
| 15 Nov 2020 | 陈佳伟 | TBD |
| 22 Nov 2020 | 曹培 | Counterfactual Samples Synthesizing for Robust Visual Question Answering (CVPR2020) |
| 29 Nov 2020 | 谭懿 | Learning to Contrast the Counterfactual Samples for Robust Visual Question Answersing(2020EMNLP),Unbiased Scene Graph Generation from Biased Training(2020CVPR) |
| 06 Dec 2020 | 石文焘 | Causal inference and counterfactual prediction in machine learning for actionable healthcare（2020 Nature Machine Intelligence) |
| 13 Dec 2020 | 张及之 | Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect |
| :-----------: | :-----------: | :-----------: |