From e1ff21c254a89bb79531f6948fe761d6e1511f32 Mon Sep 17 00:00:00 2001
From: Xialei Liu <liuxialeies@gmail.com>
Date: Sun, 24 Nov 2019 21:50:30 +0100
Subject: [PATCH] Update README.md

---
 README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/README.md b/README.md
index 8de71fa..6ace1db 100644
--- a/README.md
+++ b/README.md
@@ -21,6 +21,10 @@ to defy forgetting in classification tasks (**arXiv 2019**) [[paper](https://arx
  (**arXiv 2018**) [[paper](https://arxiv.org/abs/1802.07569)]
 ## Papers
 ### 2019
+- <a name="todo"></a> IL2M: Class Incremental Learning With Dual Memory
+ (**ICCV2019**) [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Belouadah_IL2M_Class_Incremental_Learning_With_Dual_Memory_ICCV_2019_paper.pdf)]
+- <a name="todo"></a> Incremental Learning Using Conditional Adversarial Networks
+ (**ICCV2019**) [[paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Xiang_Incremental_Learning_Using_Conditional_Adversarial_Networks_ICCV_2019_paper.html)]
 - <a name="todo"></a> Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability (**KDD2019**) [[paper](http://www.lamda.nju.edu.cn/yangy/KDD19.pdf)]
 - <a name="todo"></a> Random Path Selection for Incremental Learning (**NeurIPS2019**) [[paper](https://arxiv.org/pdf/1906.01120.pdf)]
 - <a name="todo"></a> Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild (**ICCV2019**) [[paper](https://arxiv.org/pdf/1903.12648.pdf)]