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Continual Learning with Deep Generative Replay

24 May 2017

Papers citing "Continual Learning with Deep Generative Replay"

50 / 616 papers shown

Title
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 153 213 0 06 Mar 2020
Triple Memory Networks: a Brain-Inspired Method for Continual Learning Liyuan Wang Bo Lei Qian Li Hang Su Jun Zhu Yi Zhong AAML 72 43 0 06 Mar 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting Yaoyao Liu Yuting Su Anan Liu Bernt Schiele Qianru Sun CLL 81 347 0 24 Feb 2020
Residual Continual Learning Janghyeon Lee Donggyu Joo H. Hong Junmo Kim CLL 133 24 0 17 Feb 2020
Multi-Task Incremental Learning for Object Detection Xialei Liu Hao Yang Avinash Ravichandran Rahul Bhotika Stefano Soatto ObjD VLM CLL 63 12 0 13 Feb 2020
Modeling the Background for Incremental Learning in Semantic Segmentation Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo CLL VLM 79 287 0 03 Feb 2020
Adversarial Incremental Learning Ankur Singh CLL 30 1 0 30 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning Gobinda Saha Isha Garg Aayush Ankit Kaushik Roy CLL 54 22 0 23 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 109 847 0 20 Jan 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 53 5 0 07 Jan 2020
Human Action Recognition and Assessment via Deep Neural Network Self-Organization G. I. Parisi 36 8 0 04 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 90 212 0 03 Jan 2020
On the Role of Weight Sharing During Deep Option Learning Matthew D Riemer Ignacio Cases Clemens Rosenbaum Miao Liu Gerald Tesauro OffRL 111 19 0 31 Dec 2019
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier Sravanti Addepalli Gaurav Kumar Nayak Anirban Chakraborty R. Venkatesh Babu 77 37 0 27 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 150 570 0 18 Dec 2019
Regularization Shortcomings for Continual Learning Timothée Lesort Andrei Stoian David Filliat CLL 85 50 0 06 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization Peiqiu Chen Wei Wei Cho-Jui Hsieh Bo Dai CLL 60 17 0 03 Dec 2019
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal C. Atkinson B. McCane Lech Szymanski Anthony Robins 39 0 0 27 Nov 2019
Continual Learning with Adaptive Weights (CLAW) T. Adel Han Zhao Richard Turner CLL 76 73 0 21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Caccia Eugene Belilovsky Massimo Caccia Joelle Pineau 83 5 0 19 Nov 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Yue Liu Basel Alomair AAML 86 109 0 17 Nov 2019
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 155 434 0 16 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Qi She Fan Feng Xinyue Hao Qihan Yang Chuanlin Lan ... Zhengwei Wang Yao Guo Yimin Zhang Fei Qiao Rosa H. M. Chan VLM 128 76 0 15 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling Yadan Luo Zi Huang Zheng Zhang Ziwei Wang Mahsa Baktashmotlagh Yang Yang CLL BDL 63 25 0 12 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 99 100 0 08 Nov 2019
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds T. Klein Moin Nabi 76 63 0 06 Nov 2019
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 43 264 0 31 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning Hang Zhou Ziwei Liu Chenglei Wu Ping Luo Lifeng Sun CLL 120 22 0 24 Oct 2019
Orthogonal Gradient Descent for Continual Learning Mehrdad Farajtabar Navid Azizan Alex Mott Ang Li CLL 129 376 0 15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 118 318 0 15 Oct 2019
Continual Learning Using Bayesian Neural Networks Honglin Li Payam Barnaghi Shirin Enshaeifar F. Ganz BDL 51 39 0 09 Oct 2019
A continual learning survey: Defying forgetting in classification tasks Matthias De Lange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia A. Leonardis Greg Slabaugh Tinne Tuytelaars CLL KELM 81 246 0 18 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding Regularization Jary Pomponi Simone Scardapane Vincenzo Lomonaco A. Uncini CLL 87 42 0 09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning Fan-Keng Sun Cheng-Hao Ho Hung-yi Lee CLL KELM 99 213 0 07 Sep 2019
BooVAE: Boosting Approach for Continual Learning of VAE Anna Kuzina Evgenii Egorov Evgeny Burnaev CLL 103 26 0 30 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 115 552 0 11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation Dongmin Park Seokil Hong Bohyung Han Kyoung Mu Lee AAML CLL 156 40 0 08 Aug 2019
Continual Learning via Online Leverage Score Sampling D. Teng Sakyasingha Dasgupta CLL 40 5 0 01 Aug 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 129 237 0 31 Jul 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control Inyoung Paik Sangjun Oh Taeyeong Kwak Injung Kim CLL 97 49 0 31 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 89 61 0 11 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall Huaiyu Li Weiming Dong Bao-Gang Hu CLL 62 23 0 05 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 139 250 0 29 Jun 2019
Continual Rare-Class Recognition with Emerging Novel Subclasses Hung T. Nguyen Xuejian Wang Leman Akoglu 45 3 0 28 Jun 2019
Task Agnostic Continual Learning via Meta Learning Xu He Jakub Sygnowski Alexandre Galashov Andrei A. Rusu Yee Whye Teh Razvan Pascanu OOD CLL FedML 62 94 0 12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 120 45 0 11 Jun 2019
Localizing Catastrophic Forgetting in Neural Networks Felix Wiewel Binh Yang 51 11 0 06 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning Jathushan Rajasegaran Munawar Hayat Salman Khan Fahad Shahbaz Khan Ling Shao Ming-Hsuan Yang ODL CLL 86 24 0 03 Jun 2019
Continual learning with hypernetworks J. Oswald Christian Henning Benjamin Grewe João Sacramento CLL 117 363 0 03 Jun 2019
Continual Learning of New Sound Classes using Generative Replay Zhepei Wang Y. C. Sübakan Efthymios Tzinis Paris Smaragdis Laurent Charlin VLM 133 23 0 03 Jun 2019