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Asynchrony begets Momentum, with an Application to Deep Learning
v1v2 (latest)

Asynchrony begets Momentum, with an Application to Deep Learning

31 May 2016
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
ArXiv (abs)PDFHTML

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

50 / 928 papers shown
Title
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
78
42
0
20 Dec 2019
Adversarial Representation Active Learning
Adversarial Representation Active Learning
A. Mottaghi
Serena Yeung
VLMGAN
71
29
0
20 Dec 2019
MimicGAN: Robust Projection onto Image Manifolds with Corruption
  Mimicking
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
Rushil Anirudh
Jayaraman J. Thiagarajan
B. Kailkhura
T. Bremer
AAML
65
44
0
16 Dec 2019
Image Processing Using Multi-Code GAN Prior
Image Processing Using Multi-Code GAN Prior
Jinjin Gu
Yujun Shen
Bolei Zhou
GAN
92
318
0
15 Dec 2019
Learning Disentangled Representations via Mutual Information Estimation
Learning Disentangled Representations via Mutual Information Estimation
E. Sanchez
M. Serrurier
M. Ortner
SSLDRL
93
96
0
09 Dec 2019
Self-Supervised Learning of Video-Induced Visual Invariances
Self-Supervised Learning of Video-Induced Visual Invariances
Michael Tschannen
Josip Djolonga
Marvin Ritter
Aravindh Mahendran
Xiaohua Zhai
N. Houlsby
Sylvain Gelly
Mario Lucic
SSL
138
62
0
05 Dec 2019
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
Guy Shiran
D. Weinshall
48
17
0
05 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSLVLM
113
1,459
0
04 Dec 2019
Distribution-induced Bidirectional Generative Adversarial Network for
  Graph Representation Learning
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Shuai Zheng
Zhenfeng Zhu
Xingxing Zhang
Zhizhe Liu
Jian Cheng
Yao-Min Zhao
OODGAN
67
33
0
04 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks
LOGAN: Latent Optimisation for Generative Adversarial Networks
Yongpeng Wu
Jeff Donahue
David Balduzzi
Karen Simonyan
Timothy Lillicrap
GAN
92
88
0
02 Dec 2019
Is Discriminator a Good Feature Extractor?
Is Discriminator a Good Feature Extractor?
Xin Mao
Zhaoyu Su
P. S. Tan
J. Chow
Yu-Hsing Wang
55
12
0
02 Dec 2019
Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning
  Generative Adversarial Network
Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network
Yeonghyeon Park
Wonseok Park
Yeong Beom Kim
19
14
0
02 Dec 2019
Transflow Learning: Repurposing Flow Models Without Retraining
Transflow Learning: Repurposing Flow Models Without Retraining
Andrew Gambardella
A. G. Baydin
Philip Torr
DRLAI4CE
100
8
0
29 Nov 2019
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for
  Generative Models
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
Giannis Daras
Augustus Odena
Han Zhang
A. Dimakis
106
56
0
27 Nov 2019
AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided
  Generative Adversarial Networks
AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
Hao Tang
Hong Liu
Dan Xu
Philip Torr
N. Sebe
GAN
109
214
0
27 Nov 2019
MixNMatch: Multifactor Disentanglement and Encoding for Conditional
  Image Generation
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation
Yuheng Li
Krishna Kumar Singh
Utkarsh Ojha
Yong Jae Lee
CoGe
51
77
0
26 Nov 2019
Spatial-Aware GAN for Unsupervised Person Re-identification
Spatial-Aware GAN for Unsupervised Person Re-identification
Fangneng Zhan
Aoran Xiao
80
20
0
26 Nov 2019
Natural Image Manipulation for Autoregressive Models Using Fisher Scores
Natural Image Manipulation for Autoregressive Models Using Fisher Scores
Wilson Yan
Jonathan Ho
Pieter Abbeel
26
0
0
25 Nov 2019
Invert and Defend: Model-based Approximate Inversion of Generative
  Adversarial Networks for Secure Inference
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Wei-An Lin
Yogesh Balaji
Pouya Samangouei
Rama Chellappa
61
6
0
23 Nov 2019
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Ligong Han
Ruijiang Gao
Mun Kim
Xin Tao
Bo Liu
Dimitris N. Metaxas
52
14
0
21 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural
  Networks
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
Katherine L. Hermann
Ting Chen
Simon Kornblith
CVBM
78
21
0
20 Nov 2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant
  Representations via Auto-Encoding Node-wise Transformations
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
3DPC
88
44
0
19 Nov 2019
Unsupervised Representation Learning by Discovering Reliable Image
  Relations
Unsupervised Representation Learning by Discovering Reliable Image Relations
Timo Milbich
Omair Ghori
Ferran Diego
Bjorn Ommer
OODSSL
51
9
0
18 Nov 2019
Constructing Multiple Tasks for Augmentation: Improving Neural Image
  Classification With K-means Features
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features
Tao Gui
Lizhi Qing
Qi Zhang
Jiacheng Ye
Hang Yan
Zichu Fei
Xuanjing Huang
39
2
0
18 Nov 2019
AETv2: AutoEncoding Transformations for Self-Supervised Representation
  Learning by Minimizing Geodesic Distances in Lie Groups
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups
Feng Lin
Haohang Xu
Houqiang Li
H. Xiong
Guo-Jun Qi
67
4
0
16 Nov 2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax
  Game
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Linxiao Yang
Ngai-Man Cheung
SSLGAN
80
61
0
16 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
261
12,164
0
13 Nov 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
131
778
0
13 Nov 2019
Double cycle-consistent generative adversarial network for unsupervised
  conditional generation
Double cycle-consistent generative adversarial network for unsupervised conditional generation
Fei Ding
Feng Luo
Yin Yang
SyDaAI4CE
54
10
0
13 Nov 2019
Biconditional Generative Adversarial Networks for Multiview Learning
  with Missing Views
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
Anastasiia Doinychko
Massih-Reza Amini
GAN
44
2
0
05 Nov 2019
Improved BiGAN training with marginal likelihood equalization
Improved BiGAN training with marginal likelihood equalization
Pablo Sánchez-Martín
Pablo Martínez Olmos
Fernando Perez-Cruz
GAN
26
2
0
04 Nov 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
Adversarial Fisher Vectors for Unsupervised Representation Learning
Shuangfei Zhai
Walter A. Talbott
Carlos Guestrin
J. Susskind
GAN
105
9
0
29 Oct 2019
Generative Well-intentioned Networks
Generative Well-intentioned Networks
J. Cosentino
Jun Zhu
AI4CE
37
2
0
28 Oct 2019
Exploiting GAN Internal Capacity for High-Quality Reconstruction of
  Natural Images
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images
Marco Pividori
G. Grinblat
Lucas C. Uzal
GAN
51
3
0
26 Oct 2019
Multimodal Image Outpainting With Regularized Normalized Diversification
Multimodal Image Outpainting With Regularized Normalized Diversification
Lingzhi Zhang
Jiancong Wang
Jianbo Shi
DiffM
122
15
0
25 Oct 2019
Seeing What a GAN Cannot Generate
Seeing What a GAN Cannot Generate
David Bau
Jun-Yan Zhu
Jonas Wulff
William S. Peebles
Hendrik Strobelt
Bolei Zhou
Antonio Torralba
GAN
104
310
0
24 Oct 2019
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts
Karim Armanious
Aastha Tanwar
Sherif Abdulatif
Thomas Kustner
S. Gatidis
Bin Yang
AAMLMedIm
99
30
0
12 Oct 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GANDRL
80
62
0
09 Oct 2019
Improving Password Guessing via Representation Learning
Improving Password Guessing via Representation Learning
Dario Pasquini
Ankit Gangwal
G. Ateniese
M. Bernaschi
Mauro Conti
OOD
75
73
0
09 Oct 2019
MIM: Mutual Information Machine
MIM: Mutual Information Machine
M. Livne
Kevin Swersky
David J. Fleet
DRL
47
6
0
08 Oct 2019
Stacked Wasserstein Autoencoder
Stacked Wasserstein Autoencoder
Wenju Xu
Shawn Keshmiri
Guanghui Wang
BDLDiffMDRL
45
14
0
04 Oct 2019
Adversarial Colorization Of Icons Based On Structure And Color
  Conditions
Adversarial Colorization Of Icons Based On Structure And Color Conditions
Tsai-Ho Sun
Chien-Hsun Lai
Sai-Keung Wong
Yu-Shuen Wang
GAN
87
33
0
03 Oct 2019
Information based Deep Clustering: An experimental study
Information based Deep Clustering: An experimental study
Jizong Peng
Christian Desrosiers
M. Pedersoli
52
1
0
03 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
97
448
0
01 Oct 2019
Unsupervised Projection Networks for Generative Adversarial Networks
Unsupervised Projection Networks for Generative Adversarial Networks
Daiyaan Arfeen
Jesse Zhang
GAN
21
0
0
30 Sep 2019
Improving Textual Network Learning with Variational Homophilic
  Embeddings
Improving Textual Network Learning with Variational Homophilic Embeddings
Wenlin Wang
Chenyang Tao
Zhe Gan
Guoyin Wang
Liqun Chen
Xinyuan Zhang
Ruiyi Zhang
Qian Yang
Ricardo Henao
Lawrence Carin
DRL
39
16
0
30 Sep 2019
Implicit Discriminator in Variational Autoencoder
Implicit Discriminator in Variational Autoencoder
Prateek Munjal
Akanksha Paul
N. C. Krishnan
GANDRL
31
13
0
28 Sep 2019
"Best-of-Many-Samples" Distribution Matching
"Best-of-Many-Samples" Distribution Matching
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
GANDRL
28
4
0
27 Sep 2019
Unsupervised Image Translation using Adversarial Networks for Improved
  Plant Disease Recognition
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition
H. Nazki
Sook Yoon
A. Fuentes
D. Park
GANMedIm
54
157
0
26 Sep 2019
Adversarial Deep Embedded Clustering: on a better trade-off between
  Feature Randomness and Feature Drift
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
62
54
0
26 Sep 2019
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