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Lifelong Generative Modeling

27 May 2017

Papers citing "Lifelong Generative Modeling"

50 / 75 papers shown

Title
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 416 0 0 15 Jan 2025
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 541 10,591 0 17 Feb 2020
Knowledge transfer in deep block-modular neural networks A. Terekhov Guglielmo Montone J. O'Regan 63 74 0 24 Jul 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 82 415 0 25 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 151 1,828 0 02 Jun 2019
Continual Learning via Neural Pruning Siavash Golkar Michael Kagan Kyunghyun Cho CLL 56 161 0 11 Mar 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 92 171 0 10 Jan 2019
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 116 676 0 06 Dec 2018
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 212 1,463 0 02 Dec 2018
Learning Attractor Dynamics for Generative Memory Yan Wu Greg Wayne Karol Gregor Timothy Lillicrap BDL 86 18 0 23 Nov 2018
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient Aaron Mishkin Frederik Kunstner Didrik Nielsen Mark Schmidt Mohammad Emtiyaz Khan BDL UQCV 82 61 0 11 Nov 2018
Continual Classification Learning Using Generative Models Frantzeska Lavda Jason Ramapuram Magda Gregorova Alexandros Kalousis VLM BDL CLL 53 52 0 24 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 274 5,404 0 28 Sep 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 87 226 0 27 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 79 119 0 20 Aug 2018
Assessing Generative Models via Precision and Recall Mehdi S. M. Sajjadi Olivier Bachem Mario Lucic Olivier Bousquet Sylvain Gelly EGVM 97 584 0 31 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 129 889 0 16 May 2018
Associative Compression Networks for Representation Learning Alex Graves Jacob Menick Aaron van den Oord CML 52 20 0 06 Apr 2018
The Kanerva Machine: A Generative Distributed Memory Yan Wu Greg Wayne Alex Graves Timothy Lillicrap VLM SyDa 54 38 0 05 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 104 242 0 31 Mar 2018
Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan S. Mohamed GAN CML DRL 95 98 0 19 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 70 1,356 0 16 Feb 2018
Tighter Variational Bounds are Not Necessarily Better Tom Rainforth Adam R. Kosiorek T. Le Chris J. Maddison Maximilian Igl Frank Wood Yee Whye Teh DRL 182 198 0 13 Feb 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 115 1,083 0 04 Jan 2018
Progressive Neural Architecture Search Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Patrick Murphy 117 1,997 0 02 Dec 2017
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 135 3,166 0 29 Nov 2017
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks Weiyue Wang Qiangui Huang Suya You Chao Yang Ulrich Neumann GAN 3DPC 89 167 0 17 Nov 2017
The Perception-Distortion Tradeoff Yochai Blau T. Michaeli SupR 131 819 0 16 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 79 185 0 15 Nov 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 106 736 0 29 Oct 2017
Deep Generative Dual Memory Network for Continual Learning Nitin Kamra Umang Gupta Yan Liu BDL 54 153 0 28 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 125 1,231 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 131 2,743 0 26 Jun 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 85 2,087 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 70 635 0 19 May 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 161 462 0 06 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 374 7,572 0 02 Dec 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou BDL DRL 87 733 0 16 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,390 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 200 2,541 0 02 Nov 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 244 10,717 0 15 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 679 29,183 0 09 Sep 2016
Semantic Image Inpainting with Deep Generative Models Raymond A. Yeh Chen Chen Teck-Yian Lim Alex Schwing M. Hasegawa-Johnson Minh Do GAN VLM 88 1,176 0 26 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 311 4,432 0 29 Jun 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 101 1,749 0 19 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 155 1,825 0 15 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 83 2,465 0 15 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 161 4,238 0 12 Jun 2016