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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
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 90 288 0 04 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas Guibas Silvio Savarese Jitendra Malik SSL 80 16 0 31 Dec 2018
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model Tian Han Erik Nijkamp Xiaolin Fang Mitch Hill Song-Chun Zhu Ying Nian Wu 87 68 0 28 Dec 2018
Latent Variable Modeling for Generative Concept Representations and Deep Generative Models Daniel T. Chang DRL BDL 26 4 0 26 Dec 2018
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 83 48 0 22 Dec 2018
An Empirical Study of Generative Models with Encoders Paul Kishan Rubenstein Yunpeng Li Dominik Roblek GAN 32 1 0 19 Dec 2018
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities Hai Pham Paul Pu Liang Thomas Manzini Louis-Philippe Morency Barnabás Póczós 89 416 0 19 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 89 447 0 12 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 789 10,625 0 12 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 195 824 0 06 Dec 2018
Traversing Latent Space using Decision Ferns Yan Zuo Gil Avraham Tom Drummond 32 4 0 06 Dec 2018
Anomaly detection with Wasserstein GAN I. Haloui J. Gupta Vincent Feuillard GAN AI4TS 56 14 0 06 Dec 2018
Adversarially Learned Anomaly Detection Houssam Zenati Manon Romain Chuan-Sheng Foo Bruno Lecouat V. Chandrasekhar GAN 74 405 0 06 Dec 2018
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection Eric Tzeng Kaylee Burns Kate Saenko Trevor Darrell ObjD 83 16 0 03 Dec 2018
GAN-EM: GAN based EM learning framework Wentian Zhao Shaojie Wang Zhihuai Xie Jing Shi Chenliang Xu VLM GAN 19 13 0 02 Dec 2018
GDPP: Learning Diverse Generations Using Determinantal Point Process Mohamed Elfeki Camille Couprie M. Rivière Mohamed Elhoseiny 101 64 0 30 Nov 2018
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE Ke Li Tianhao Zhang Jitendra Malik DiffM 251 88 0 29 Nov 2018
Shape-conditioned Image Generation by Learning Latent Appearance Representation from Unpaired Data Yutaro Miyauchi Yusuke Sugano Y. Matsushita GAN 26 4 0 29 Nov 2018
Unsupervised Meta-Learning For Few-Shot Image Classification Siavash Khodadadeh Ladislau Bölöni M. Shah SSL VLM 66 140 0 28 Nov 2018
Semi-supervised learning with Bidirectional GANs M. Zamorski Maciej Ziȩba SSL GAN 32 2 0 28 Nov 2018
Self-Supervised GANs via Auxiliary Rotation Loss Ting Chen Xiaohua Zhai Marvin Ritter Mario Lucic N. Houlsby SSL GAN 85 302 0 27 Nov 2018
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou J. Tenenbaum William T. Freeman Antonio Torralba GAN 29 0 0 26 Nov 2018
Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning Changhee Lee Nicholas Mastronarde M. Schaar FedML CML 45 18 0 21 Nov 2018
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint Jianlin Su GAN 35 25 0 18 Nov 2018
Style and Content Disentanglement in Generative Adversarial Networks Hadi Kazemi Seyed Mehdi Iranmanesh Nasser M. Nasrabadi GAN DRL 72 69 0 14 Nov 2018
Mode matching in GANs through latent space learning and inversion Chao Weng AP Prathosh Dong Yu Varun Srivastava S. Chaudhury GAN 62 2 0 08 Nov 2018
Neural Image Compression for Gigapixel Histopathology Image Analysis David Tellez G. Litjens Jeroen van der Laak F. Ciompi 76 208 0 07 Nov 2018
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile Richard T. Marriott AI4TS 70 11 0 05 Nov 2018
Representation Learning by Reconstructing Neighborhoods Chin-Chia Michael Yeh Yan Zhu Evangelos E. Papalexakis A. Mueen Eamonn Keogh SSL 18 0 0 05 Nov 2018
Improving GAN with neighbors embedding and gradient matching Ngoc-Trung Tran Tuan-Anh Bui Ngai-Man Cheung GAN 68 16 0 04 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning Wenbin Li Wei Xiong Haofu Liao Jing Huo Yang Gao Jiebo Luo GAN 107 44 0 01 Nov 2018
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model Yujia Wang Nhat Ho David J. Miller Anima Anandkumar Michael I. Jordan Richard G. Baraniuk BDL GAN 96 8 0 01 Nov 2018
Self-Supervised GAN to Counter Forgetting Ting Chen Xiaohua Zhai N. Houlsby CLL GAN SSL 78 8 0 27 Oct 2018
Generative adversarial networks and adversarial methods in biomedical image analysis J. Wolterink Konstantinos Kamnitsas C. Ledig Ivana Išgum MedIm GAN 77 21 0 24 Oct 2018
Investigating Object Compositionality in Generative Adversarial Networks Sjoerd van Steenkiste Karol Kurach Jürgen Schmidhuber Sylvain Gelly GAN OCL 92 20 0 17 Oct 2018
Metropolis-Hastings view on variational inference and adversarial training Kirill Neklyudov Evgenii Egorov Pavel Shvechikov Dmitry Vetrov GAN 76 13 0 16 Oct 2018
Pairwise Augmented GANs with Adversarial Reconstruction Loss Aibek Alanov Max Kochurov D. Yashkov Dmitry Vetrov GAN 21 3 0 11 Oct 2018
Generalized Latent Variable Recovery for Generative Adversarial Networks Nicholas Egan Jeffrey O. Zhang Kevin Shen GAN 38 4 0 09 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 100 230 0 04 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Sinkhorn AutoEncoders Giorgio Patrini Rianne van den Berg Patrick Forré M. Carioni Samarth Bhargav Max Welling Tim Genewein Frank Nielsen DiffM 67 89 0 02 Oct 2018
Generative Adversarial Active Learning for Unsupervised Outlier Detection Yezheng Liu Zhe Li Chong Zhou Yuanchun Jiang Jianshan Sun Ming Wang Xiangnan He 65 301 0 28 Sep 2018
Implicit Maximum Likelihood Estimation Ke Li Jitendra Malik 56 97 0 24 Sep 2018
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives Jing Han Zixing Zhang N. Cummins Björn Schuller 84 61 0 21 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 137 1,405 0 19 Sep 2018
Scattering Networks for Hybrid Representation Learning Edouard Oyallon Sergey Zagoruyko Gabriel Huang N. Komodakis Simon Lacoste-Julien Matthew Blaschko Eugene Belilovsky 66 86 0 17 Sep 2018
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Kun Zhang Dacheng Tao GAN 118 228 0 16 Sep 2018
Style Augmentation: Data Augmentation via Style Randomization Philip T. G. Jackson Amir Atapour-Abarghouei Stephen Bonner T. Breckon B. Obara OOD 73 177 0 14 Sep 2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks Sudipto Mukherjee Himanshu Asnani Eugene Lin Sreeram Kannan GAN 77 340 0 10 Sep 2018
Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution Yaqi Liu Xianfeng Zhao Xiaobin Zhu Yun Cao GAN 35 2 0 08 Sep 2018