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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 / 247 papers shown
Title
Likelihood-Free Variational Autoencoders
Likelihood-Free Variational Autoencoders
Chen Xu
Qiang Wang
Lijun Sun
DiffM
DRL
78
0
0
24 Apr 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Yongshuai Liu
Xin Liu
GAN
95
2
0
24 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
49
0
0
09 Mar 2025
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Yeongmin Kim
Kwanghyeon Lee
Minsang Park
Byeonghu Na
Il-Chul Moon
DiffM
42
2
0
27 May 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically
  Low-dimensional Data
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
Saptarshi Chakraborty
Peter L. Bartlett
36
1
0
24 Feb 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Xinlei Chen
Zhuang Liu
Saining Xie
Kaiming He
DiffM
30
53
0
25 Jan 2024
A Self Supervised StyleGAN for Image Annotation and Classification with
  Extremely Limited Labels
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
24
11
0
26 Dec 2023
Matching aggregate posteriors in the variational autoencoder
Matching aggregate posteriors in the variational autoencoder
Surojit Saha
Sarang Joshi
Ross T. Whitaker
DRL
16
4
0
13 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative
  Adversarial Networks for Computer Vision
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
Hrishikesh Sharma
AI4CE
EGVM
13
1
0
02 Nov 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri
Donghwan Lee
Hamed Hassani
Edgar Dobriban
MLT
26
19
0
11 Oct 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
Oren Shrout
Ori Nitzan
Yizhak Ben-Shabat
A. Tal
3DPC
50
2
0
14 Aug 2023
Bag of Policies for Distributional Deep Exploration
Bag of Policies for Distributional Deep Exploration
Asen Nachkov
Luchen Li
Giulia Luise
Filippo Valdettaro
Aldo A. Faisal
OffRL
30
0
0
03 Aug 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image
  Synthesis
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
Jiajie Fan
L. Vuaille
Hongya Wang
Thomas Bäck
AI4CE
12
5
0
19 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
19
70
0
10 Jul 2023
Technical outlier detection via convolutional variational autoencoder
  for the ADMANI breast mammogram dataset
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset
Hui Li
C. Peña-Solórzano
Susan Wei
Davis J. McCarthy
18
0
0
20 May 2023
Connecting Fairness in Machine Learning with Public Health Equity
Connecting Fairness in Machine Learning with Public Health Equity
Shaina Raza
13
5
0
08 Apr 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
24
504
0
07 Mar 2023
Deep hybrid model with satellite imagery: how to combine demand modeling
  and computer vision for behavior analysis?
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?
Qingyi Wang
Shenhao Wang
Yunhan Zheng
Hongzhou Lin
Xiaohu Zhang
Jinhua Zhao
Joan Walker
11
9
0
07 Mar 2023
Evolutionary Augmentation Policy Optimization for Self-supervised
  Learning
Evolutionary Augmentation Policy Optimization for Self-supervised Learning
Noah Barrett
Zahra Sadeghi
Stan Matwin
22
3
0
02 Mar 2023
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing
  Unannotated T1-weighted Brain MR Images
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
M. R. Siddiquee
Jay Shah
Teresa Wu
C. Chong
T. Schwedt
Gina M. Dumkrieger
S. Nikolova
Baoxin Li
MedIm
25
11
0
18 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Biwei Huang
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
50
11
0
29 Jan 2023
The Entoptic Field Camera as Metaphor-Driven Research-through-Design
  with AI Technologies
The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies
J. Benjamin
Heidi R. Biggs
Arne Berger
Julija Rukanskait.e
Michael Heidt
Nick Merrill
James Pierce
Joseph Lindley
19
19
0
23 Jan 2023
Audio2Gestures: Generating Diverse Gestures from Audio
Audio2Gestures: Generating Diverse Gestures from Audio
Jing Li
Di Kang
Wenjie Pei
Xuefei Zhe
Ying Zhang
Linchao Bao
Zhenyu He
DiffM
SLR
23
8
0
17 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN
  Features for Explainable Image Classification
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification
Y. Song
S. K. Shyn
Kwang-su Kim
VLM
19
5
0
16 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Yinghao Xu
Yujun Shen
Jiapeng Zhu
Ceyuan Yang
Bolei Zhou
23
2
0
12 Jan 2023
Learning Representations for Masked Facial Recovery
Learning Representations for Masked Facial Recovery
Zaigham A. Randhawa
Shivang Patel
Donald Adjeroh
Gianfranco Doretto
CVBM
19
0
0
28 Dec 2022
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Kei-Sing Ng
Qingchen Wang
VLM
13
1
0
27 Dec 2022
Face Generation and Editing with StyleGAN: A Survey
Face Generation and Editing with StyleGAN: A Survey
Andrew Melnik
Maksim Miasayedzenkau
Dzianis Makaravets
Dzianis Pirshtuk
Eren Akbulut
Dennis Holzmann
Tarek Renusch
Gustav Reichert
Helge J. Ritter
CVBM
21
40
0
18 Dec 2022
GLeaD: Improving GANs with A Generator-Leading Task
GLeaD: Improving GANs with A Generator-Leading Task
Qingyan Bai
Ceyuan Yang
Yinghao Xu
Xihui Liu
Yujiu Yang
Yujun Shen
GAN
18
9
0
07 Dec 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with
  Limited Data
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Tiantian Fang
Ruoyu Sun
A. Schwing
GAN
17
16
0
27 Nov 2022
Detecting Anomalies using Generative Adversarial Networks on Images
Detecting Anomalies using Generative Adversarial Networks on Images
Rushikesh Zawar
Krupa Bhayani
Neelanjan Bhowmik
K. Tiwari
Dhiraj Sangwan
GAN
15
2
0
24 Nov 2022
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle
  Domain Transfer Learning based Generative Adversarial Network
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network
Xiang Wang
Yimin Yang
Zhichang Guo
Zhili Zhou
Yu Liu
Qixiang Pang
Shan Du
SupR
8
1
0
19 Nov 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
27
152
0
16 Nov 2022
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
41
0
0
11 Nov 2022
Distilling Representations from GAN Generator via Squeeze and Span
Distilling Representations from GAN Generator via Squeeze and Span
Yu Yang
Xiaotian Cheng
Chang-rui Liu
Hakan Bilen
Xiang Ji
GAN
29
0
0
06 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video
  Manipulation
Disentangling Content and Motion for Text-Based Neural Video Manipulation
Levent Karacan
Tolga Kerimouglu
.Ismail .Inan
Tolga Birdal
Erkut Erdem
Aykut Erdem
16
1
0
05 Nov 2022
Unsupervised Learning of Structured Representations via Closed-Loop
  Transcription
Unsupervised Learning of Structured Representations via Closed-Loop Transcription
Shengbang Tong
Xili Dai
Yubei Chen
Mingyang Li
Zengyi Li
Brent Yi
Yann LeCun
Y. Ma
SSL
DRL
21
7
0
30 Oct 2022
Towards Efficient and Effective Self-Supervised Learning of Visual
  Representations
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
Sravanti Addepalli
Kaushal Bhogale
Priyam Dey
R. Venkatesh Babu
SSL
10
8
0
18 Oct 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised
  Meta-Learning
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
Xingping Dong
Jianbing Shen
Ling Shao
11
7
0
27 Sep 2022
Optimization of Annealed Importance Sampling Hyperparameters
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour
F. Pérez-Cruz
19
1
0
27 Sep 2022
Gromov-Wasserstein Autoencoders
Gromov-Wasserstein Autoencoders
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
GAN
DRL
13
11
0
15 Sep 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries
Dongbin Na
Sangwoo Ji
Jong Kim
AAML
22
17
0
24 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
30
113
0
24 Aug 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
19
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
8
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
29
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
13
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
12
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
74
19
1
16 Jun 2022
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