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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
No Modes left behind: Capturing the data distribution effectively using GANs Shashank Sharma Vinay P. Namboodiri GAN 29 4 0 02 Feb 2018
Improved Training of Generative Adversarial Networks Using Representative Features Duhyeon Bang Hyunjung Shim GAN 92 33 0 28 Jan 2018
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning Atanas Mirchev Seyed-Ahmad Ahmadi GAN 48 3 0 26 Jan 2018
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks Unaiza Ahsan Chen Sun Irfan Essa GAN 79 44 0 22 Jan 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 260 1,286 0 12 Jan 2018
Comparative Study on Generative Adversarial Networks Saifuddin Hitawala GAN 74 56 0 12 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 402 11,979 0 11 Jan 2018
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption Peilun Li Xiaodan Liang Daoyuan Jia Eric Xing 93 94 0 05 Jan 2018
Differentially Private Releasing via Deep Generative Model (Technical Report) Xinyang Zhang S. Ji Ting Wang SyDa 80 71 0 05 Jan 2018
Crossing Generative Adversarial Networks for Cross-View Person Re-identification Chengyuan Zhang Lin Wu Yang Wang GAN 59 31 0 04 Jan 2018
The Robust Manifold Defense: Adversarial Training using Generative Models A. Jalal Andrew Ilyas C. Daskalakis A. Dimakis AAML 109 174 0 26 Dec 2017
On the Effectiveness of Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 69 160 0 18 Dec 2017
Self-Supervised Relative Depth Learning for Urban Scene Understanding Huaizu Jiang Erik Learned-Miller Gustav Larsson Michael Maire Gregory Shakhnarovich OOD SSL 58 9 0 13 Dec 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models Alex Lamb R. Devon Hjelm Yaroslav Ganin Joseph Paul Cohen Aaron Courville Yoshua Bengio GAN 70 13 0 12 Dec 2017
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 123 335 0 12 Dec 2017
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples D. Sun Zhaolin Ren Chongxun Li Hang Su Jun Zhu 99 92 0 06 Dec 2017
Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks Sihao Ding Andreas Wallin GAN 30 3 0 06 Dec 2017
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation Xiaohang Zhan Ziwei Liu Ping Luo Xiaoou Tang Chen Change Loy SSL 66 37 0 02 Dec 2017
Label Efficient Learning of Transferable Representations across Domains and Tasks Zelun Luo Yuliang Zou Judy Hoffman Li Fei-Fei 80 277 0 30 Nov 2017
Toward Multimodal Image-to-Image Translation Jun-Yan Zhu Richard Y. Zhang Deepak Pathak Trevor Darrell Alexei A. Efros Oliver Wang Eli Shechtman 139 1,358 0 30 Nov 2017
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery Zhongzheng Ren Yong Jae Lee SSL OOD 118 212 0 24 Nov 2017
Wasserstein Introspective Neural Networks Kwonjoon Lee Weijian Xu Fan Fan Zhuowen Tu 99 57 0 24 Nov 2017
IVE-GAN: Invariant Encoding Generative Adversarial Networks R. Winter Djork-Arné Clevert GAN 33 0 0 23 Nov 2017
Adversarial Feature Augmentation for Unsupervised Domain Adaptation Riccardo Volpi Pietro Morerio Silvio Savarese Vittorio Murino GAN OOD 115 234 0 23 Nov 2017
Safer Classification by Synthesis William Wang Angelina Wang Aviv Tamar Xi Chen Pieter Abbeel 65 41 0 22 Nov 2017
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks Ali Diba Vivek Sharma Rainer Stiefelhagen Luc Van Gool GAN 74 6 0 22 Nov 2017
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 89 223 0 21 Nov 2017
Towards Stable Adversarial Feature Learning for LiDAR based Loop Closure Detection Lingyun Xu Peng Yin Haibo Luo Yunhui Liu Jianda Han GAN 20 0 0 21 Nov 2017
Condition directed Multi-domain Adversarial Learning for Loop Closure Detection Peng Yin Yuqing He Na Liu Jianda Han 40 3 0 21 Nov 2017
Bidirectional Conditional Generative Adversarial Networks Ayush Jaiswal Wael AbdAlmageed Yue Wu Premkumar Natarajan GAN 75 36 0 20 Nov 2017
Disentangling Factors of Variation by Mixing Them Qiyang Hu Attila Szabó Tiziano Portenier Matthias Zwicker Paolo Favaro OCL CoGe DRL 66 76 0 20 Nov 2017
Improvements to context based self-supervised learning T. N. Mundhenk Daniel E. Ho Barry Y. Chen SSL 89 120 0 17 Nov 2017
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network A. Lahiri A. Jain P. Biswas Pabitra Mitra GAN 47 10 0 16 Nov 2017
Global versus Localized Generative Adversarial Nets Guo-Jun Qi Liheng Zhang Hao Hu Marzieh Edraki Jingdong Wang Xian-Sheng Hua GAN 92 82 0 16 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview Yongjun Hong Uiwon Hwang Jaeyoon Yoo Sungroh Yoon GAN 129 159 0 16 Nov 2017
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 97 140 0 15 Nov 2017
Adversarial Information Factorization Antonia Creswell Yumnah Mohamied B. Sengupta Anil A Bharath CVBM GAN 75 23 0 14 Nov 2017
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 97 1 0 14 Nov 2017
Towards Automated ICD Coding Using Deep Learning Haoran Shi P. Xie Zhiting Hu Ming Zhang Eric Xing 62 142 0 11 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 154 3,013 0 08 Nov 2017
Fidelity-Weighted Learning Mostafa Dehghani Arash Mehrjou Stephan Gouws J. Kamps Bernhard Schölkopf NoLa FedML 96 75 0 08 Nov 2017
Theoretical limitations of Encoder-Decoder GAN architectures Sanjeev Arora Andrej Risteski Yi Zhang GAN AI4CE 59 15 0 07 Nov 2017
Challenges in Disentangling Independent Factors of Variation Attila Szabó Qiyang Hu Tiziano Portenier Matthias Zwicker Paolo Favaro DRL CoGe 76 52 0 07 Nov 2017
Structured Generative Adversarial Networks Zhijie Deng Huatian Zhang Xiaodan Liang Luona Yang Shizhen Xu Jun Zhu Eric Xing GAN 65 53 0 02 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 110 523 0 02 Nov 2017
Flexible Prior Distributions for Deep Generative Models Yannic Kilcher Aurelien Lucchi Thomas Hofmann AI4CE 21 1 0 31 Oct 2017
Latent Space Oddity: on the Curvature of Deep Generative Models Georgios Arvanitidis Lars Kai Hansen Søren Hauberg DRL 129 271 0 31 Oct 2017
Deep Generative Dual Memory Network for Continual Learning Nitin Kamra Umang Gupta Yan Liu BDL 64 153 0 28 Oct 2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step W. Fedus Mihaela Rosca Balaji Lakshminarayanan Andrew M. Dai S. Mohamed Ian Goodfellow GAN 92 211 0 23 Oct 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 156 3,077 0 19 Oct 2017