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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
Unsupervised Learning of Dense Visual Representations Pedro H. O. Pinheiro Amjad Almahairi Ryan Y. Benmalek Florian Golemo Aaron Courville SSL MDE 107 193 0 11 Nov 2020
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization Foivos Ntelemis Yaochu Jin S. Thomas GAN 78 13 0 08 Nov 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 74 64 0 03 Nov 2020
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation K. Shubham Gopalakrishnan Venkatesh Reijul Sachdev Akshi D. Jayagopi G. Srinivasaraghavan GAN 35 6 0 02 Nov 2020
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 152 1,410 0 31 Oct 2020
GENs: Generative Encoding Networks Surojit Saha Shireen Y. Elhabian Ross T. Whitaker GAN 56 9 0 28 Oct 2020
Generative Adversarial Networks in Human Emotion Synthesis:A Review Noushin Hajarolasvadi M. A. Ramírez H. Demirel GAN 65 22 0 28 Oct 2020
CompRess: Self-Supervised Learning by Compressing Representations Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash SSL 82 92 0 28 Oct 2020
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels A. Chakraborty Rahul Ragesh Mahir Shah Nipun Kwatra GAN 103 3 0 23 Oct 2020
Semantics-Guided Representation Learning with Applications to Visual Synthesis Jia-Wei Yan Ci-Siang Lin Fu-En Yang Yu-Jhe Li Y. Wang 79 2 0 21 Oct 2020
Graph Fairing Convolutional Networks for Anomaly Detection Mahsa Mesgaran A. Ben Hamza 69 24 0 20 Oct 2020
Explorable Tone Mapping Operators Chien-Chuan Su Ren Wang Hung-Jin Lin Yu-Lun Liu Chia-Ping Chen Yu-Lin Chang S. Pei 72 10 0 20 Oct 2020
Facial Emotion Recognition with Noisy Multi-task Annotations Siwei Zhang Zhiwu Huang D. Paudel Luc Van Gool CVBM 61 10 0 19 Oct 2020
CLAR: Contrastive Learning of Auditory Representations Haider Al-Tahan Y. Mohsenzadeh SSL 193 56 0 19 Oct 2020
What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions Kiana Ehsani Daniel Gordon T. Nguyen Roozbeh Mottaghi Ali Farhadi 3DH SSL 55 2 0 16 Oct 2020
Latent Vector Recovery of Audio GANs Andrew Keyes N. Bayat Vahid Reza Khazaie Y. Mohsenzadeh 8 3 0 16 Oct 2020
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series G. González P. Casas Alicia Fernández G. Gómez 43 21 0 16 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 131 64 0 14 Oct 2020
Conditioning Trick for Training Stable GANs Mohammad Esmaeilpour Raymel Alfonso Sallo Olivier St-Georges P. Cardinal Alessandro Lameiras Koerich 27 0 0 12 Oct 2020
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series Vincent Jacob Fei Song Arnaud Stiegler Bijan Rad Y. Diao Nesime Tatbul AI4TS 72 68 0 10 Oct 2020
Representation learning from videos in-the-wild: An object-centric approach Rob Romijnders Aravindh Mahendran Michael Tschannen Josip Djolonga Marvin Ritter N. Houlsby Mario Lucic OCL SSL 70 8 0 06 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning Chen Wei Huiyu Wang Wei Shen Alan Yuille SSL 85 63 0 05 Oct 2020
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior Hong-Ye Hu Dian Wu Yi-Zhuang You Bruno A. Olshausen Yubei Chen BDL DRL 89 16 0 30 Sep 2020
Geometric Disentanglement by Random Convex Polytopes M. Joswig M. Kaluba Lukas Ruff 65 3 0 29 Sep 2020
Neural Topic Modeling with Cycle-Consistent Adversarial Training Xuemeng Hu Rui Wang Deyu Zhou Yuxuan Xiong GAN BDL OOD MedIm 46 35 0 29 Sep 2020
EvolGAN: Evolutionary Generative Adversarial Networks Baptiste Roziere F. Teytaud Vlad Hosu Hanhe Lin Jérémy Rapin M. Zameshina O. Teytaud GAN 59 14 0 28 Sep 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue Pirazh Khorramshahi Hossein Souri Ramalingam Chellappa Soheil Feizi GAN DRL 54 5 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 81 210 0 16 Sep 2020
Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space Jonas Wulff Antonio Torralba 60 46 0 14 Sep 2020
Inverse mapping of face GANs N. Bayat Vahid Reza Khazaie Y. Mohsenzadeh GAN CVBM 47 5 0 11 Sep 2020
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings Alexander Wang Mengye Ren R. Zemel SSL 51 22 0 27 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual Representations Jiahao Xie Xiaohang Zhan Ziwei Liu Yew-Soon Ong Chen Change Loy SSL VLM 76 59 0 26 Aug 2020
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering Evgenii Zheltonozhskii Chaim Baskin A. Bronstein A. Mendelson SSL 52 10 0 24 Aug 2020
MPCC: Matching Priors and Conditionals for Clustering N. Astorga P. Huijse P. Protopapas P. Estévez 21 2 0 21 Aug 2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks M. A. Bashar R. Nayak GAN AI4TS 68 104 0 21 Aug 2020
Uncertainty-aware Self-supervised 3D Data Association Jianren Wang Siddharth Ancha Yi-Ting Chen David Held 3DPC 50 12 0 18 Aug 2020
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steven Cheng-Xian Li Benjamin M. Marlin AI4TS 55 56 0 17 Aug 2020
A Self-supervised GAN for Unsupervised Few-shot Object Recognition Khoi Duc Minh Nguyen S. Todorovic SSL 61 5 0 16 Aug 2020
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification Zhengxu Yu Yilun Zhao Bin Hong Zhongming Jin Jianqiang Huang Deng Cai Xiaofei He Xiansheng Hua OOD 46 31 0 14 Aug 2020
Improving Stability of LS-GANs for Audio and Speech Signals Mohammad Esmaeilpour Raymel Alfonso Sallo Olivier St-Georges P. Cardinal Alessandro Lameiras Koerich 23 0 0 12 Aug 2020
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination Xudong Wang Ziwei Liu Stella X. Yu SSL 72 76 0 09 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 74 0 0 08 Aug 2020
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces Marco Maggipinto M. Terzi Gian Antonio Susto 28 1 0 03 Aug 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 77 55 0 02 Aug 2020
$Generative networks as inverse problems with fractional wavelet scattering networks$ Generative networks as inverse problems with fractional wavelet scattering networks Jiasong Wu Jing Zhang Fuzhi Wu Youyong Kong Guanyu Yang L. Senhadji H. Shu GAN 40 1 0 28 Jul 2020
Improving Generative Adversarial Networks with Local Coordinate Coding Jingyun Liang Yong Guo Qingyao Wu Chunhua Shen Junzhou Huang Mingkui Tan GAN 126 12 0 28 Jul 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 107 28 0 27 Jul 2020
Unsupervised Heterogeneous Coupling Learning for Categorical Representation Chengzhang Zhu LongBing Cao Jianping Yin 69 38 0 21 Jul 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang Zhang Masanori Koyama Katsuhiko Ishiguro CML 52 6 0 21 Jul 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion Chang Shu Kun Yu Zhixiang Duan Kuiyuan Yang SSL MDE 97 234 0 21 Jul 2020