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Asynchrony begets Momentum, with an Application to Deep Learning

Asynchrony begets Momentum, with an Application to Deep Learning

31 May 2016
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
ArXivPDFHTML

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

50 / 304 papers shown
Title
Enhancement to Training of Bidirectional GAN : An Approach to Demystify
  Tax Fraud
Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud
P. Mehta
Sandeep Kumar
Ravi Kumar
C. Babu
9
7
0
16 Aug 2022
Disentangled Representation Learning for RF Fingerprint Extraction under
  Unknown Channel Statistics
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics
Renjie Xie
Wei Xu
Jiabao Yu
A. Hu
Derrick Wing Kwan Ng
A. L. Swindlehurst
35
18
0
04 Aug 2022
Efficient High-Resolution Deep Learning: A Survey
Efficient High-Resolution Deep Learning: A Survey
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
MedIm
21
19
0
26 Jul 2022
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
Sascha Kirch
Rafael Pagés
Sergio Arnaldo
S. Martín
GAN
27
2
0
19 Jul 2022
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular
  Data
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
M. Lahoti
Pratik Narang
15
28
0
12 Jul 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Chang-Tien Lu
Shen Zheng
Zirui Wang
O. Dib
Gaurav Gupta
34
3
0
28 Jun 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for
  Intrusion Detection Systems
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
D'Jeff K. Nkashama
Ariana Soltani
Jean-Charles Verdier
Marc Frappier
Pierre-Marting Tardif
F. Kabanza
OOD
AAML
21
5
0
25 Jun 2022
Using EBGAN for Anomaly Intrusion Detection
Using EBGAN for Anomaly Intrusion Detection
Yinxue Cui
Wenfeng Shen
Jian Zhang
Weijia Lu
Chuang Liu
Lingge Sun
Sisi Chen
19
3
0
21 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
76
19
1
16 Jun 2022
Self-Supervised Implicit Attention: Guided Attention by The Model Itself
Self-Supervised Implicit Attention: Guided Attention by The Model Itself
Jinyi Wu
Xun Gong
Zhemin Zhang
21
1
0
15 Jun 2022
Cascaded Video Generation for Videos In-the-Wild
Cascaded Video Generation for Videos In-the-Wild
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGen
29
0
0
01 Jun 2022
Prompt-based Learning for Unpaired Image Captioning
Prompt-based Learning for Unpaired Image Captioning
Peipei Zhu
Tianlin Li
Lin Zhu
Zhenglong Sun
Weishi Zheng
Yaowei Wang
C. L. P. Chen
VLM
23
31
0
26 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN
A Unified f-divergence Framework Generalizing VAE and GAN
Jaime Roquero Gimenez
James Zou
13
2
0
11 May 2022
Generative Evolutionary Strategy For Black-Box Optimizations
Generative Evolutionary Strategy For Black-Box Optimizations
C. Park
11
0
0
06 May 2022
Generative Adversarial Networks for Image Super-Resolution: A Survey
Generative Adversarial Networks for Image Super-Resolution: A Survey
Chunwei Tian
Xuanyu Zhang
Chun-Wei Lin
W. Zuo
Yanning Zhang
Chia-Wen Lin
GAN
39
45
0
28 Apr 2022
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation
  in Financial Markets
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets
Masanori Hirano
Hiroki Sakaji
Kiyoshi Izumi
GAN
38
6
0
28 Apr 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with
  Anomaly-Aware Bidirectional GANs
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
Bowen Tian
Qinliang Su
Jian Yin
31
18
0
28 Apr 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
3DPC
27
8
0
21 Mar 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
44
87
0
16 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li
Jingyao Wang
Changwen Zheng
Bing-Huang Su
Hui Xiong
22
23
0
10 Mar 2022
FlexIT: Towards Flexible Semantic Image Translation
FlexIT: Towards Flexible Semantic Image Translation
Guillaume Couairon
Asya Grechka
Jakob Verbeek
Holger Schwenk
Matthieu Cord
DiffM
44
35
0
09 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
21
34
0
09 Mar 2022
An Efficient Subpopulation-based Membership Inference Attack
An Efficient Subpopulation-based Membership Inference Attack
Shahbaz Rezaei
Xin Liu
MIACV
24
5
0
04 Mar 2022
Autoencoding Video Latents for Adversarial Video Generation
Autoencoding Video Latents for Adversarial Video Generation
Sai Hemanth Kasaraneni
VGen
22
3
0
18 Jan 2022
on the effectiveness of generative adversarial network on anomaly
  detection
on the effectiveness of generative adversarial network on anomaly detection
Laya Rafiee
T. Fevens
20
5
0
31 Dec 2021
Multimodal Image Synthesis and Editing: The Generative AI Era
Multimodal Image Synthesis and Editing: The Generative AI Era
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Shijian Lu
Lingjie Liu
Adam Kortylewski
Christian Theobalt
Eric Xing
EGVM
29
48
0
27 Dec 2021
Multimodal Adversarially Learned Inference with Factorized
  Discriminators
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen
Jianke Zhu
43
3
0
20 Dec 2021
GAN-Supervised Dense Visual Alignment
GAN-Supervised Dense Visual Alignment
William S. Peebles
Jun-Yan Zhu
Richard Y. Zhang
Antonio Torralba
Alexei A. Efros
Eli Shechtman
26
67
0
09 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
137
81
0
06 Dec 2021
Distributed Anomaly Detection in Edge Streams using Frequency based
  Sketch Datastructures
Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures
Prateek Chanda
Malay Bhattacharya
16
1
0
27 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial
  and Survey
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
GAN
34
12
0
26 Nov 2021
Semantic-Aware Generation for Self-Supervised Visual Representation
  Learning
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
Yunjie Tian
Lingxi Xie
Xiaopeng Zhang
Jiemin Fang
Haohang Xu
Wei Huang
Jianbin Jiao
Qi Tian
QiXiang Ye
SSL
GAN
36
16
0
25 Nov 2021
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road
  Surface Anomaly Detection
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection
Yeonghyeon Park
JongHee Jung
24
4
0
22 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi Ma
25
30
0
12 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
21
106
0
01 Nov 2021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
Ligong Han
S. Musunuri
Martin Renqiang Min
Ruijiang Gao
Yu Tian
Dimitris N. Metaxas
DRL
36
14
0
17 Oct 2021
Adversarial examples by perturbing high-level features in intermediate
  decoder layers
Adversarial examples by perturbing high-level features in intermediate decoder layers
Vojtěch Čermák
Lukáš Adam
AAML
GAN
35
0
0
14 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu
Xin Li
Jing Yu Koh
Han Zhang
Ruoming Pang
James Qin
Alexander Ku
Yuanzhong Xu
Jason Baldridge
Yonghui Wu
ViT
VLM
DRL
49
480
0
09 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Zou
Linjun Zhang
SSL
53
49
0
06 Oct 2021
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
Turkay Kart
Wenjia Bai
Ben Glocker
Daniel Rueckert
33
11
0
30 Sep 2021
Audio-to-Image Cross-Modal Generation
Audio-to-Image Cross-Modal Generation
Maciej Żelaszczyk
Jacek Mańdziuk
DiffM
53
15
0
27 Sep 2021
Visual Anomaly Detection for Images: A Survey
Visual Anomaly Detection for Images: A Survey
Jie Yang
Rui Xu
Zhiquan Qi
Yong Shi
25
35
0
27 Sep 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
37
176
0
17 Sep 2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection
Zhiwei Zhang
Yu Dong
Hanyu Peng
Shifeng Chen
29
0
0
15 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model
MRI Reconstruction Using Deep Energy-Based Model
Yu Guan
Zongjiang Tu
Shanshan Wang
Qiegen Liu
Yuhao Wang
Dong Liang
DiffM
MedIm
31
13
0
07 Sep 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time
  Training
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
TTA
36
8
0
26 Aug 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing
  Imputation Perspective
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
Riqiang Gao
Yucheng Tang
Kaiwen Xu
Ho Hin Lee
S. Deppen
K. Sandler
P. Massion
Thomas A. Lasko
Yuankai Huo
Bennett A. Landman
29
10
0
25 Jul 2021
FoleyGAN: Visually Guided Generative Adversarial Network-Based
  Synchronous Sound Generation in Silent Videos
FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos
Sanchita Ghose
John J. Prevost
GAN
21
26
0
20 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for
  Self-supervised Point Cloud Learning
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bianli Du
Xiang Gao
Wei Hu
Xin Li
3DPC
SSL
15
81
0
05 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature
  Corruption
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri
Heinrich Jiang
Yi Tay
Donald Metzler
SSL
19
163
0
29 Jun 2021
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