Rainbow Memory: Continual Learning with a Memory of Diverse Samples

31 March 2021

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

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Title
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation Haoyang Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 109 0 0 02 Apr 2025
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving Haibo Hu Jiacheng Zuo Yang Lou Yufei Cui Jianping Wang Nan Guan Jin Wang Yung-Hui Li Chun Jason Xue VLM 112 1 0 29 Mar 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning Jiaxin Guo Xiaoguang Zhu Xiaoguang Zhu Lianlong Sun Liangyu Teng Yang Liu Di Li Wei Zhou Liang Song CLL VLM 92 1 0 24 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 152 1 0 17 Feb 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 411 0 0 15 Jan 2025
Adapter-Enhanced Semantic Prompting for Continual Learning Baocai Yin Ji Zhao Huajie Jiang Ningning Hou Yongli Hu Amin Beheshti Ming-Hsuan Yang Yuankai Qi CLL VLM 179 0 0 15 Dec 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling Minhyuk Seo Hyunseo Koh Jonghyun Choi 86 2 0 19 Oct 2024
Temporal-Difference Variational Continual Learning Luckeciano C. Melo Alessandro Abate Yarin Gal BDL CLL VLM 127 0 0 10 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning Da-Wei Zhou Zi-Wen Cai Han-Jia Ye Lijun Zhang De-Chuan Zhan CLL AI4CE 184 2 0 01 Oct 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha Lakshmana Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 109 9 0 17 May 2024
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 121 64 0 29 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning Huiwei Lin Shanshan Feng Baoquan Zhang Xutao Li Yew-Soon Ong CLL 113 0 0 26 Sep 2023
The Effectiveness of Memory Replay in Large Scale Continual Learning Yogesh Balaji Mehrdad Farajtabar Dong Yin Alex Mott Ang Li 69 40 0 06 Oct 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 89 390 0 15 Sep 2020
Online Continual Learning under Extreme Memory Constraints Enrico Fini Stéphane Lathuilière E. Sangineto Moin Nabi Elisa Ricci CLL 66 65 0 04 Aug 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 45 121 0 13 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 78 234 0 06 Jun 2020
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu Hongyang R. Zhang Gregory Valiant Christopher Ré 64 77 0 02 May 2020
Memory-Efficient Incremental Learning Through Feature Adaptation Ahmet Iscen Jeffrey O. Zhang Svetlana Lazebnik Cordelia Schmid CLL VLM 38 164 0 01 Apr 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting Yaoyao Liu Yuting Su Anan Liu Bernt Schiele Qianru Sun CLL 79 346 0 24 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip Torr David Lopez-Paz KELM CLL 96 236 0 19 Feb 2020
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 116 300 0 06 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 237 3,490 0 30 Sep 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 102 1,257 0 30 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 620 4,780 0 13 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 100 595 0 01 May 2019
Gradient based sample selection for online continual learning Rahaf Aljundi Min Lin Baptiste Goujaud Yoshua Bengio BDL CLL 104 830 0 20 Mar 2019
Parameter-Efficient Transfer Learning for NLP N. Houlsby A. Giurgiu Stanislaw Jastrzebski Bruna Morrone Quentin de Laroussilhe Andrea Gesmundo Mona Attariyan Sylvain Gelly 210 4,460 0 02 Feb 2019
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference Matthew D Riemer Ignacio Cases R. Ajemian Miao Liu Irina Rish Y. Tu Gerald Tesauro CLL 93 787 0 29 Oct 2018
NSML: Meet the MLaaS platform with a real-world case study Hanjoo Kim Minkyu Kim Dongjoo Seo Jinwoong Kim Heungseok Park ... KyungHyun Kim Youngil Yang Youngkwan Kim Nako Sung Jung-Woo Ha 52 131 0 08 Oct 2018
Memory Replay GANs: learning to generate images from new categories without forgetting Chenshen Wu Luis Herranz Xialei Liu Yaxing Wang Joost van de Weijer Bogdan Raducanu CLL VLM GAN 54 195 0 06 Sep 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 87 1,158 0 25 Jul 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 193 2,888 0 21 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting Xialei Liu Marc Masana Luis Herranz Joost van de Weijer Antonio M. López Andrew D. Bagdanov CLL 85 275 0 08 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 102 1,141 0 30 Jan 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 117 3,765 0 15 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,714 0 26 Jun 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 80 2,077 0 24 May 2017
Continual Learning in Generative Adversarial Nets Ari Seff Alex Beatson Daniel Suo Han Liu GAN 49 133 0 23 May 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 70 677 0 24 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 369 7,518 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 154 3,761 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 301 4,408 0 29 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 829 9,318 0 06 Jun 2015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 149 1,449 0 21 Dec 2013