CLeaR: An Adaptive Continual Learning Framework for Regression Tasks

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CLeaR: An Adaptive Continual Learning Framework for Regression Tasks

4 January 2021

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Papers citing "CLeaR: An Adaptive Continual Learning Framework for Regression Tasks"

16 / 16 papers shown

Title
A Unifying Bayesian View of Continual Learning Sebastian Farquhar Y. Gal BDL CLL 51 66 0 18 Feb 2019
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 75 226 0 27 Sep 2018
Continuous Learning in Single-Incremental-Task Scenarios Davide Maltoni Vincenzo Lomonaco CLL 95 308 0 22 Jun 2018
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 93 307 0 24 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 125 889 0 16 May 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
On Quadratic Penalties in Elastic Weight Consolidation Ferenc Huszár 66 99 0 11 Dec 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 89 733 0 29 Oct 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
CORe50: a New Dataset and Benchmark for Continuous Object Recognition Vincenzo Lomonaco Davide Maltoni 179 493 0 09 May 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
Less-forgetting Learning in Deep Neural Networks Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim 100 228 0 01 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 301 4,408 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,452 0 15 Jun 2016
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