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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
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 133 1,264 0 30 May 2019
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 89 322 0 29 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings A. Daruna Weiyu Liu Z. Kira Sonia Chernova 30 0 0 29 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition Martin Mundt Iuliia Pliushch Sagnik Majumder Yongwon Hong Visvanathan Ramesh UQCV BDL 104 41 0 28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 102 221 0 28 May 2019
A comprehensive, application-oriented study of catastrophic forgetting in DNNs Benedikt Pfülb A. Gepperth 72 90 0 20 May 2019
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning Xu Zhang Yang Yao Baile Xu Lekun Mao S. Furao Jian Zhao Qingwei Lin CLL 30 2 0 20 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics Grady Williams Brian Goldfain James M. Rehg Evangelos A. Theodorou 54 12 0 13 May 2019
Improving and Understanding Variational Continual Learning S. Swaroop Cuong V Nguyen T. Bui Richard Turner CLL 73 50 0 06 May 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 104 897 0 15 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation Zuxuan Wu Xin Wang Joseph E. Gonzalez Tom Goldstein L. Davis OOD 79 103 0 12 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 195 304 0 05 Apr 2019
Unsupervised Progressive Learning and the STAM Architecture James Smith Cameron Taylor Seth Baer C. Dovrolis OffRL CLL 121 39 0 03 Apr 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting Xilai Li Yingbo Zhou Tianfu Wu R. Socher Caiming Xiong CLL 117 439 0 31 Mar 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 141 206 0 29 Mar 2019
Gradient based sample selection for online continual learning Rahaf Aljundi Min Lin Baptiste Goujaud Yoshua Bengio BDL CLL 148 840 0 20 Mar 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 123 341 0 19 Mar 2019
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay Mohammad Rostami Soheil Kolouri Praveen K. Pilly CLL 136 70 0 11 Mar 2019
Continual Learning Using World Models for Pseudo-Rehearsal Nicholas A. Ketz Soheil Kolouri Praveen K. Pilly KELM CLL 51 7 0 06 Mar 2019
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 62 16 0 25 Feb 2019
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition Jaehong Yoon Saehoon Kim Eunho Yang Sung Ju Hwang CLL 106 178 0 25 Feb 2019
Differentially Private Continual Learning Sebastian Farquhar Y. Gal FedML MU 50 12 0 18 Feb 2019
A Unifying Bayesian View of Continual Learning Sebastian Farquhar Y. Gal BDL CLL 64 67 0 18 Feb 2019
Policy Consolidation for Continual Reinforcement Learning Christos Kaplanis Murray Shanahan Claudia Clopath CLL OffRL 78 51 0 01 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 77 187 0 31 Jan 2019
Generative Models from the perspective of Continual Learning Timothée Lesort Hugo Caselles-Dupré Michael Garcia Ortiz Andrei Stoian David Filliat VLM DiffM 77 158 0 21 Dec 2018
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 105 10 0 18 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 83 104 0 06 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting Junfeng Wen Yanshuai Cao Ruitong Huang CLL 49 24 0 03 Dec 2018
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 238 1,467 0 02 Dec 2018
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 153 1,179 0 28 Nov 2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 91 56 0 27 Nov 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines Yen-Chang Hsu Yen-Cheng Liu Anita Ramasamy Z. Kira CLL ELM 97 359 0 30 Oct 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data O. Tasar Y. Tarabalka Pierre Alliez CLL 115 127 0 29 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning Timothée Lesort A. Gepperth Andrei Stoian David Filliat BDL 100 35 0 29 Oct 2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat BDL CLL 73 19 0 09 Oct 2018
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 124 311 0 29 Sep 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 107 226 0 27 Sep 2018
StackNet: Stacking Parameters for Continual learning Jangho Kim Jeesoo Kim Nojun Kwak CLL 29 6 0 07 Sep 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 87 197 0 06 Sep 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies Alessandro Achille Tom Eccles Loic Matthey Christopher P. Burgess Nicholas Watters Alexander Lerchner I. Higgins BDL 84 120 0 20 Aug 2018
How good is my GAN? K. Shmelkov Cordelia Schmid Alahari Karteek GAN EGVM 57 350 0 25 Jul 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks Hoang Thanh-Tung T. Tran GAN 148 59 0 11 Jul 2018
Doubly Nested Network for Resource-Efficient Inference Jaehong Kim Sungeun Hong Yongseok Choi Jiwon Kim 39 5 0 20 Jun 2018
DynMat, a network that can learn after learning J. H. Lee OffRL 115 6 0 16 Jun 2018
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks Hyo-Eun Kim Seungwook Kim Jaehwan Lee CLL 55 31 0 28 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 71 16 0 25 May 2018
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 93 308 0 24 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 106 335 0 20 May 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 164 889 0 16 May 2018