Update README.md

README.md

@@ -31,8 +31,16 @@ to defy forgetting in classification tasks (**arXiv 2019**) [[paper](https://arx
  (**arXiv 2018**) [[paper](https://arxiv.org/abs/1802.07569)]
 ## Papers
 ### 2020
+- <a name="todo"></a> XtarNet: Learning to Extract Task-Adaptive Representation
+for Incremental Few-Shot Learning (**ICLM2020**) [[paper](https://arxiv.org/pdf/2003.08561.pdf)]
+- <a name="todo"></a> Optimal Continual Learning has Perfect Memory and is NP-HARD (**ICML2020**) [[paper](https://arxiv.org/pdf/2006.05188.pdf)]
+- <a name="todo"></a> Neural Topic Modeling with Continual Lifelong Learning (**ICML2020**) [[paper](https://arxiv.org/pdf/2006.10909.pdf)]
 - <a name="todo"></a> Semantic Drift Compensation for Class-Incremental Learning (**CVPR2020**) [[paper](https://arxiv.org/pdf/2004.00440.pdf)] [[code](https://github.com/yulu0724/SDC-IL)]
 - <a name="todo"></a> Few-Shot Class-Incremental Learning (**CVPR2020**) [[paper](https://arxiv.org/pdf/2004.10956.pdf)]
+- <a name="todo"></a> Modeling the Background for Incremental Learning in Semantic Segmentation (**CVPR2020**) [[paper](https://arxiv.org/pdf/2002.00718.pdf)]
+- <a name="todo"></a> Incremental Few-Shot Object Detection (**CVPR2020**) [[paper](https://arxiv.org/pdf/2003.04668.pdf)]
+- <a name="todo"></a> Incremental Learning In Online Scenario (**CVPR2020**) [[paper](https://arxiv.org/pdf/2003.13191.pdf)]
+- <a name="todo"></a> Maintaining Discrimination and Fairness in Class Incremental Learning (**CVPR2020**) [[paper](https://arxiv.org/pdf/1911.07053.pdf)]
 - <a name="todo"></a> Conditional Channel Gated Networks for Task-Aware Continual Learning (**CVPR2020**) [[paper](https://arxiv.org/pdf/2004.00070.pdf)]
 - <a name="todo"></a> Continual Learning with Extended Kronecker-factored Approximate Curvature
  (**CVPR2020**) [[paper](https://arxiv.org/abs/2004.07507)]