v1v2v3 (latest)

BooVAE: Boosting Approach for Continual Learning of VAE

30 August 2019

Papers citing "BooVAE: Boosting Approach for Continual Learning of VAE"

22 / 22 papers shown

Title
Unsupervised anomaly localization using VAE and beta-VAE Leixin Zhou Wenxiang Deng Xiaodong Wu DRL 68 16 0 19 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 470 10,591 0 17 Feb 2020
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 34 261 0 31 Oct 2019
MaxEntropy Pursuit Variational Inference Evgenii Egorov Kirill Neklyudov R. Kostoev Evgeny Burnaev BDL 31 3 0 20 May 2019
Generative Models from the perspective of Continual Learning Timothée Lesort Hugo Caselles-Dupré Michael Garcia Ortiz Andrei Stoian David Filliat VLM DiffM 49 156 0 21 Dec 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 73 119 0 20 Aug 2018
Measuring and regularizing networks in function space Ari S. Benjamin David Rolnick Konrad Paul Kording 48 140 0 21 May 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 85 278 0 08 Feb 2018
A Note on the Inception Score Shane T. Barratt Rishi Sharma EGVM 99 694 0 06 Jan 2018
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 89 734 0 29 Oct 2017
Boosting Variational Inference: an Optimization Perspective Francesco Locatello Rajiv Khanna Joydeep Ghosh Gunnar Rätsch 56 36 0 05 Aug 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 80 2,080 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 66 635 0 19 May 2017
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning Prasoon Goyal Zhiting Hu Xiaodan Liang Chenyu Wang Eric Xing CML BDL 66 117 0 21 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 372 7,547 0 02 Dec 2016
Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller N. Foti Ryan P. Adams 51 125 0 20 Nov 2016
Boosting Variational Inference Fangjian Guo Xiangyu Wang Kai Fan Tamara Broderick David B. Dunson BDL 116 76 0 17 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 304 4,423 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 2,463 0 15 Jun 2016
Coresets for Scalable Bayesian Logistic Regression Jonathan H. Huggins Trevor Campbell Tamara Broderick 60 219 0 20 May 2016
Functional Frank-Wolfe Boosting for General Loss Functions Chu Wang Yingfei Wang E. Weinan Robert Schapire 45 19 0 09 Oct 2015
Nonparametric variational inference S. Gershman Matt Hoffman David M. Blei BDL 104 154 0 18 Jun 2012