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Asynchrony begets Momentum, with an Application to Deep Learning

31 May 2016

Stefan Hadjis

Papers citing "Asynchrony begets Momentum, with an Application to Deep Learning"

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Title
Triangle Generative Adversarial Networks Zhe Gan Liqun Chen Weiyao Wang Yunchen Pu Yizhe Zhang Hao Liu Chunyuan Li Lawrence Carin GAN OOD 92 137 0 19 Sep 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 109 257 0 06 Sep 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li Hao Liu Changyou Chen Yunchen Pu Liqun Chen Ricardo Henao Lawrence Carin GAN FedML 77 224 0 05 Sep 2017
Unsupervised feature learning with discriminative encoder Gaurav Pandey Ambedkar Dukkipati SSL 60 6 0 03 Sep 2017
Representation Learning by Learning to Count M. Noroozi Hamed Pirsiavash Paolo Favaro SSL 100 369 0 22 Aug 2017
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning Gustav Larsson SSL VLM 46 5 0 19 Aug 2017
Style2Vec: Representation Learning for Fashion Items from Style Sets Hanbit Lee Jinseok Seol Sang-goo Lee CML 74 36 0 14 Aug 2017
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis Qingming Tang Weiran Wang Karen Livescu DRL 52 20 0 11 Aug 2017
Transitive Invariance for Self-supervised Visual Representation Learning Xinyu Wang Kaiming He Abhinav Gupta OOD SSL 89 179 0 09 Aug 2017
Active Learning for Convolutional Neural Networks: A Core-Set Approach Ozan Sener Silvio Savarese SSL 95 49 0 01 Aug 2017
Generator Reversal Yannic Kilcher Aurelien Lucchi Thomas Hofmann AI4CE 42 2 0 28 Jul 2017
Adversarial Variational Optimization of Non-Differentiable Simulators Gilles Louppe Joeri Hermans Kyle Cranmer GAN 173 66 0 22 Jul 2017
Semantic Image Synthesis via Adversarial Learning Hao Dong Simiao Yu Chao Wu Yike Guo GAN 77 266 0 21 Jul 2017
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 121 417 0 18 Jul 2017
A step towards procedural terrain generation with GANs Christopher Beckham C. Pal GAN 26 21 0 11 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 216 2,414 0 10 Jul 2017
Do GANs actually learn the distribution? An empirical study Sanjeev Arora Yi Zhang 80 192 0 26 Jun 2017
Variational Approaches for Auto-Encoding Generative Adversarial Networks Mihaela Rosca Balaji Lakshminarayanan David Warde-Farley S. Mohamed DRL GAN 85 266 0 15 Jun 2017
Adversarial Feature Matching for Text Generation Yizhe Zhang Zhe Gan Kai Fan Zhi Chen Ricardo Henao Dinghan Shen Lawrence Carin GAN 102 334 0 12 Jun 2017
Unsupervised learning of object frames by dense equivariant image labelling James Thewlis Hakan Bilen Andrea Vedaldi OCL 96 26 0 09 Jun 2017
Evaluating (and improving) the correspondence between deep neural networks and human representations Joshua C. Peterson Joshua T. Abbott Thomas Griffiths 13 0 0 08 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 79 100 0 02 Jun 2017
Joint auto-encoders: a flexible multi-task learning framework Baruch Epstein T. Michaeli 39 8 0 30 May 2017
The Numerics of GANs L. Mescheder Sebastian Nowozin Andreas Geiger GAN 114 457 0 30 May 2017
Kernel Implicit Variational Inference Jiaxin Shi Shengyang Sun Jun Zhu BDL 93 3 0 29 May 2017
Lifelong Generative Modeling Jason Ramapuram Magda Gregorova Alexandros Kalousis BDL CLL 152 120 0 27 May 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 111 485 0 27 May 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference Abhishek Kumar P. Sattigeri P. T. Fletcher GAN 89 42 0 24 May 2017
Look, Listen and Learn Relja Arandjelović Andrew Zisserman SSL 127 908 0 23 May 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning Akash Srivastava Lazar Valkov Chris Russell Michael U. Gutmann Charles Sutton SyDa GAN 76 680 0 22 May 2017
Unsupervised Learning by Predicting Noise Piotr Bojanowski Armand Joulin OOD SSL 74 296 0 18 Apr 2017
Multi-View Image Generation from a Single-View Bo Zhao Xiao-Jun Wu Zhi-Qi Cheng Hao Liu Zequn Jie Jiashi Feng 3DH GAN 100 185 0 17 Apr 2017
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking Felix Juefei Xu Vishnu Boddeti Marios Savvides GAN 58 30 0 17 Apr 2017
DeepPermNet: Visual Permutation Learning Rodrigo Santa Cruz Basura Fernando A. Cherian Stephen Gould SSL 73 103 0 10 Apr 2017
It Takes (Only) Two: Adversarial Generator-Encoder Networks Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky GAN 105 135 0 07 Apr 2017
Training Triplet Networks with GAN Maciej Ziȩba Lei Wang GAN 40 16 0 06 Apr 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 187 5,555 0 30 Mar 2017
Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets Junyu Luo Yong Xu Chenwei Tang Jiancheng Lv GAN 72 58 0 29 Mar 2017
Predicting Deeper into the Future of Semantic Segmentation Pauline Luc Natalia Neverova Camille Couprie Jakob Verbeek Yann LeCun 104 243 0 22 Mar 2017
Active Decision Boundary Annotation with Deep Generative Models Miriam W. Huijser Jan van Gemert 61 46 0 20 Mar 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 119 2,237 0 17 Mar 2017
Colorization as a Proxy Task for Visual Understanding Gustav Larsson Michael Maire Gregory Shakhnarovich SSL 200 499 0 11 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 185 813 0 09 Mar 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 111 456 0 07 Mar 2017
Generative Compression Shibani Santurkar David Budden Nir Shavit VGen DiffM GAN 119 189 0 04 Mar 2017
Denoising Adversarial Autoencoders Antonia Creswell Anil Anthony Bharath DiffM 93 131 0 03 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 115 99 0 28 Feb 2017
Learning Hierarchical Features from Generative Models Shengjia Zhao Jiaming Song Stefano Ermon BDL GAN OOD DRL 89 74 0 27 Feb 2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels Aayush Bansal Xinlei Chen Bryan C. Russell Abhinav Gupta Deva Ramanan SSeg 90 120 0 21 Feb 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 299 4,685 0 17 Feb 2017