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"

50 / 256 papers shown

Title
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 19 32 0 02 Mar 2021
Generative Adversarial Transformers Drew A. Hudson C. L. Zitnick ViT 23 179 0 01 Mar 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 16 109 0 07 Feb 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 14 176 0 25 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 124 268 0 07 Jan 2021
AVAE: Adversarial Variational Auto Encoder Antoine Plumerault Hervé Le Borgne C´eline Hudelot GAN DRL 21 15 0 21 Dec 2020
Robustness of Facial Recognition to GAN-based Face-morphing Attacks Richard T. Marriott S. Romdhani S. Gentric Liming Luke Chen AAML CVBM 21 3 0 18 Dec 2020
Artificial Dummies for Urban Dataset Augmentation Antonín Vobecký David Hurych Michal Uřičář P. Pérez Josef Sivic 3DH 11 15 0 15 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization Pedro H. P. Savarese Sunnie S. Y. Kim Michael Maire G. Shakhnarovich David A. McAllester 22 29 0 14 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 16 20 0 08 Dec 2020
Spectral Distribution Aware Image Generation Steffen Jung M. Keuper OOD 20 34 0 05 Dec 2020
Creative Sketch Generation Songwei Ge Vedanuj Goswami C. L. Zitnick Devi Parikh 31 78 0 19 Nov 2020
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation Gyutaek Oh J. Lee J. C. Ye 18 11 0 12 Nov 2020
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization Foivos Ntelemis Yaochu Jin S. Thomas GAN 20 13 0 08 Nov 2020
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series G. González P. Casas Alicia Fernández G. Gómez 16 17 0 16 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 17 64 0 14 Oct 2020
EvolGAN: Evolutionary Generative Adversarial Networks Baptiste Roziere F. Teytaud Vlad Hosu Hanhe Lin Jérémy Rapin M. Zameshina O. Teytaud GAN 23 14 0 28 Sep 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue Pirazh Khorramshahi Hossein Souri Ramalingam Chellappa S. Feizi GAN DRL 28 4 0 24 Sep 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks Alexander Geiger Dongyu Liu Sarah Alnegheimish Alfredo Cuesta-Infante K. Veeramachaneni AI4TS 20 205 0 16 Sep 2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks M. A. Bashar R. Nayak GAN AI4TS 12 102 0 21 Aug 2020
Uncertainty-aware Self-supervised 3D Data Association Jianren Wang Siddharth Ancha Yi-Ting Chen David Held 3DPC 17 11 0 18 Aug 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization Zhiwen Zuo Lei Zhao Zhizhong Wang Haibo Chen Ailin Li Qijiang Xu Wei Xing Dongming Lu GAN 32 0 0 08 Aug 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 14 28 0 27 Jul 2020
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation Jue Jiang Yu-chi Hu N. Tyagi A. Rimner N. Lee Joseph O. Deasy S. Berry H. Veeraraghavan OOD MedIm 16 40 0 18 Jul 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 14 13 0 28 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning Xiaohang Zhan Jiahao Xie Ziwei Liu Yew-Soon Ong Chen Change Loy OOD 29 184 0 18 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 11 26 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 31 1,586 0 15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 31 6,643 0 13 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 25 229 0 11 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-man Cheung MedIm 18 35 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 19 294 0 09 Jun 2020
Nested Scale Editing for Conditional Image Synthesis Lingzhi Zhang Jiancong Wang Yinshuang Xu Jie Min Tarmily Wen J. Gee Jianbo Shi DiffM 24 3 0 03 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 24 12 0 01 Jun 2020
Deep Learning for Wireless Communications T. Erpek Tim O'Shea Y. Sagduyu Yi Shi T. Clancy 18 134 0 12 May 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 34 259 0 09 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition Kamal Gupta Saurabh Singh Abhinav Shrivastava SSL DRL 14 20 0 07 Apr 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation Xingang Pan Xiaohang Zhan Bo Dai Dahua Lin Chen Change Loy Ping Luo DiffM 46 359 0 30 Mar 2020
Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation Shawn Mathew Saad Nadeem Sruti Kumari Arie Kaufman 11 49 0 27 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen Zechun Liu Zhuang Liu Marios Savvides Trevor Darrell Eric P. Xing OCL SSL 8 103 0 11 Mar 2020
Self-supervised Point Set Local Descriptors for Point Cloud Registration Yijun Yuan Jiawei Hou A. Nüchter Sören Schwertfeger 3DPC 17 26 0 11 Mar 2020
Deep Self-Supervised Representation Learning for Free-Hand Sketch Peng-Tao Xu Zeyu Song Qiyue Yin Yi-Zhe Song Liang Wang SSL 20 41 0 03 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Philip H. S. Torr SSL 13 59 0 12 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 23 12 0 06 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 24 81 0 02 Jan 2020
History-based Anomaly Detector: an Adversarial Approach to Anomaly Detection Pierrick Chatillon C. Ballester AAML 13 6 0 26 Dec 2019
Deep Automodulators Ari Heljakka Yuxin Hou Juho Kannala Arno Solin 20 5 0 21 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 16 41 0 20 Dec 2019
Adversarial Representation Active Learning A. Mottaghi Serena Yeung VLM GAN 11 29 0 20 Dec 2019