Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

31 March 2021

Papers citing "Rainbow Memory: Continual Learning with a Memory of Diverse Samples"

16 / 66 papers shown

Title
Continual Learning For On-Device Environmental Sound Classification Yanghua Xiao Xubo Liu James King Arshdeep Singh Chng Eng Siong Mark D. Plumbley Wenwu Wang CLL 24 10 0 15 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 23 2 0 14 Jul 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning Huitong Chen Yu Wang Q. Hu CLL 35 16 0 30 Jun 2022
Class-Incremental Learning with Strong Pre-trained Models Tz-Ying Wu Gurumurthy Swaminathan Zhizhong Li Avinash Ravichandran Nuno Vasconcelos Rahul Bhotika Stefano Soatto CLL 32 67 0 07 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 26 60 0 31 Mar 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 35 141 0 30 Mar 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning Qiankun Gao Chen Zhao Guohao Li Jian Zhang CLL 28 61 0 24 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang Jianqiang Xiao Xialei Liu Ying-Cong Chen Mingg-Ming Cheng SSeg CLL 48 93 0 10 Mar 2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners Duo Li Guimei Cao Yunlu Xu Zhanzhan Cheng Yi Niu CLL 27 21 0 13 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship Quanziang Wang Renzhen Wang Yuexiang Li Dong Wei Kai Ma Yefeng Zheng Deyu Meng CLL 38 7 0 31 Dec 2021
One Pass ImageNet Huiyi Hu Ang Li Daniele Calandriello Dilan Görür VLM 13 18 0 03 Nov 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 35 8 0 11 Oct 2021
Towards Continual Knowledge Learning of Language Models Joel Jang Seonghyeon Ye Sohee Yang Joongbo Shin Janghoon Han Gyeonghun Kim Stanley Jungkyu Choi Minjoon Seo CLL KELM 233 151 0 07 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 30 73 0 23 Sep 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers Boseop Kim Hyoungseok Kim Sang-Woo Lee Gichang Lee Donghyun Kwak ... Jaewook Kang Inho Kang Jung-Woo Ha W. Park Nako Sung VLM 249 121 0 10 Sep 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015