Bayesian Structure Adaptation for Continual Learning

8 December 2019

Papers citing "Bayesian Structure Adaptation for Continual Learning"

26 / 26 papers shown

Title
Temporal-Difference Variational Continual Learning Luckeciano C. Melo Alessandro Abate Yarin Gal BDL CLL VLM 109 0 0 10 Oct 2024
Continual Learning with Adaptive Weights (CLAW) T. Adel Han Zhao Richard Turner CLL 40 73 0 21 Nov 2019
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 34 258 0 31 Oct 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting Xilai Li Yingbo Zhou Tianfu Wu R. Socher Caiming Xiong CLL 68 428 0 31 Mar 2019
Continual Learning via Neural Pruning Siavash Golkar Michael Kagan Kyunghyun Cho CLL 48 161 0 11 Mar 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 61 186 0 31 Jan 2019
Don't forget, there is more than forgetting: new metrics for Continual Learning Natalia Díaz Rodríguez Vincenzo Lomonaco David Filliat Davide Maltoni CLL 55 162 0 31 Oct 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 36 78 0 13 Jun 2018
Reinforced Continual Learning Ju Xu Zhanxing Zhu CLL 95 377 0 31 May 2018
Nonparametric Bayesian Deep Networks with Local Competition Konstantinos P. Panousis S. Chatzis Sergios Theodoridis BDL 55 32 0 19 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 108 886 0 16 May 2018
Task Agnostic Continual Learning Using Online Variational Bayes Chen Zeno Itay Golan Elad Hoffer Daniel Soudry CLL FedML BDL 46 110 0 27 Mar 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling Hao Zhang Bo Chen D. Guo Mingyuan Zhou BDL 71 118 0 04 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 158 2,879 0 21 Feb 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 93 1,074 0 04 Jan 2018
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 79 732 0 29 Oct 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 105 1,220 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 105 2,705 0 26 Jun 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 68 674 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 323 7,478 0 02 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 289 5,360 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 163 2,529 0 02 Nov 2016
Stick-Breaking Variational Autoencoders Marco Cote Padhraic Smyth BDL DRL 110 163 0 20 May 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 242 4,778 0 04 Jan 2016
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 173 1,886 0 20 May 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 422 16,944 0 20 Dec 2013