ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.03888
  4. Cited By
Large Batch Training of Convolutional Networks

Large Batch Training of Convolutional Networks

13 August 2017
Yang You
Igor Gitman
Boris Ginsburg
    ODL
ArXivPDFHTML

Papers citing "Large Batch Training of Convolutional Networks"

50 / 545 papers shown
Title
Scaling the Wild: Decentralizing Hogwild!-style Shared-memory SGD
Scaling the Wild: Decentralizing Hogwild!-style Shared-memory SGD
Bapi Chatterjee
Vyacheslav Kungurtsev
Dan Alistarh
FedML
27
2
0
13 Mar 2022
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot
  Hyperparameter Transfer
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Greg Yang
J. E. Hu
Igor Babuschkin
Szymon Sidor
Xiaodong Liu
David Farhi
Nick Ryder
J. Pachocki
Weizhu Chen
Jianfeng Gao
31
149
0
07 Mar 2022
Measuring Self-Supervised Representation Quality for Downstream
  Classification using Discriminative Features
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features
Neha Kalibhat
Kanika Narang
Hamed Firooz
Maziar Sanjabi
S. Feizi
SSL
40
7
0
03 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
45
106
0
02 Mar 2022
FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours
FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours
Shenggan Cheng
Xuanlei Zhao
Guangyang Lu
Bin-Rui Li
Zhongming Yu
Tian Zheng
R. Wu
Xiwen Zhang
Jian Peng
Yang You
AI4CE
27
30
0
02 Mar 2022
SWIS: Self-Supervised Representation Learning For Writer Independent
  Offline Signature Verification
SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification
Siladittya Manna
Soumitri Chattopadhyay
Saumik Bhattacharya
Umapada Pal
19
12
0
26 Feb 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small
  Batch Does Not Harm Performance
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Zhuoning Yuan
Yuexin Wu
Zi-qi Qiu
Xianzhi Du
Lijun Zhang
Denny Zhou
Tianbao Yang
36
26
0
24 Feb 2022
Survey on Large Scale Neural Network Training
Survey on Large Scale Neural Network Training
Julia Gusak
Daria Cherniuk
Alena Shilova
A. Katrutsa
Daniel Bershatsky
...
Lionel Eyraud-Dubois
Oleg Shlyazhko
Denis Dimitrov
Ivan Oseledets
Olivier Beaumont
41
10
0
21 Feb 2022
A Self-Supervised Descriptor for Image Copy Detection
A Self-Supervised Descriptor for Image Copy Detection
Ed Pizzi
Sreya . Dutta Roy
Sugosh Nagavara Ravindra
Priya Goyal
Matthijs Douze
SSL
34
117
0
21 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
28
110
0
16 Feb 2022
Orthogonalising gradients to speed up neural network optimisation
Orthogonalising gradients to speed up neural network optimisation
Mark Tuddenham
Adam Prugel-Bennett
Jonathan Hare
ODL
15
2
0
14 Feb 2022
Conditional Contrastive Learning with Kernel
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Kun Zhang
Louis-Philippe Morency
Ruslan Salakhutdinov
27
25
0
11 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
47
386
0
07 Feb 2022
Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive
  DNN Models on Commodity Servers
Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers
Youjie Li
Amar Phanishayee
D. Murray
Jakub Tarnawski
Nam Sung Kim
19
19
0
02 Feb 2022
Distributed SLIDE: Enabling Training Large Neural Networks on Low
  Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity
Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity
Minghao Yan
Nicholas Meisburger
Tharun Medini
Anshumali Shrivastava
19
6
0
29 Jan 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
42
27
0
28 Jan 2022
Existence and Estimation of Critical Batch Size for Training Generative
  Adversarial Networks with Two Time-Scale Update Rule
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
Naoki Sato
Hideaki Iiduka
EGVM
20
4
0
28 Jan 2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Revisiting RCAN: Improved Training for Image Super-Resolution
Zudi Lin
Prateek Garg
Atmadeep Banerjee
Salma Abdel Magid
Deqing Sun
Yulun Zhang
Luc Van Gool
D. Wei
Hanspeter Pfister
SupR
53
57
0
27 Jan 2022
Neural Manifold Clustering and Embedding
Neural Manifold Clustering and Embedding
Zengyi Li
Yubei Chen
Yann LeCun
Friedrich T. Sommer
DRL
22
42
0
24 Jan 2022
Boundary-aware Self-supervised Learning for Video Scene Segmentation
Boundary-aware Self-supervised Learning for Video Scene Segmentation
Jonghwan Mun
Minchul Shin
Gunsoo Han
Sangho Lee
S. Ha
Joonseok Lee
Eun-Sol Kim
SSL
59
20
0
14 Jan 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
92
81
0
13 Jan 2022
Representation Learning via Consistent Assignment of Views to Clusters
Representation Learning via Consistent Assignment of Views to Clusters
T. Silva
Adín Ramirez Rivera
SSL
19
8
0
31 Dec 2021
Adversarial Learning for Incentive Optimization in Mobile Payment
  Marketing
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing
Xuanying Chen
Zhining Liu
Li Yu
Sen Li
Lihong Gu
Xiaodong Zeng
Yize Tan
Jinjie Gu
OffRL
14
5
0
28 Dec 2021
Max-Margin Contrastive Learning
Max-Margin Contrastive Learning
Anshul B. Shah
S. Sra
Ramalingam Chellappa
A. Cherian
SSL
37
44
0
21 Dec 2021
Efficient Strong Scaling Through Burst Parallel Training
Efficient Strong Scaling Through Burst Parallel Training
S. Park
Joshua Fried
Sunghyun Kim
Mohammad Alizadeh
Adam Belay
GNN
LRM
32
10
0
19 Dec 2021
Contrastive Vision-Language Pre-training with Limited Resources
Contrastive Vision-Language Pre-training with Limited Resources
Quan Cui
Boyan Zhou
Yu Guo
Weidong Yin
Hao Wu
Osamu Yoshie
Yubo Chen
VLM
CLIP
19
33
0
17 Dec 2021
Connecting the Dots between Audio and Text without Parallel Data through
  Visual Knowledge Transfer
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer
Yanpeng Zhao
Jack Hessel
Youngjae Yu
Ximing Lu
Rowan Zellers
Yejin Choi
25
27
0
16 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier
  Arbitration
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang
Jingyang Lin
Jingjing Zou
Yingwei Pan
Ting Yao
Tao Mei
OODD
34
12
0
15 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
26
25
0
10 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
55
161
0
08 Dec 2021
Unsupervised Representation Learning via Neural Activation Coding
Unsupervised Representation Learning via Neural Activation Coding
Yookoon Park
Sangho Lee
Gunhee Kim
David M. Blei
SSL
26
8
0
07 Dec 2021
A Fast Knowledge Distillation Framework for Visual Recognition
A Fast Knowledge Distillation Framework for Visual Recognition
Zhiqiang Shen
Eric P. Xing
VLM
14
46
0
02 Dec 2021
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive
  Learning
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
S. Canu
SSL
21
30
0
29 Nov 2021
ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson
Tomoki Hayashi
Keisuke Fujii
Alexander Carballo
Kento Ohtani
K. Takeda
SSL
42
4
0
24 Nov 2021
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
Yufei Xu
Qiming Zhang
Jing Zhang
Dacheng Tao
SSL
21
18
0
24 Nov 2021
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna
Umapada Pal
Saumik Bhattacharya
SSL
35
1
0
24 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,503
0
11 Nov 2021
Self-Supervised Audio-Visual Representation Learning with Relaxed
  Cross-Modal Synchronicity
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
Pritam Sarkar
Ali Etemad
SSL
36
11
0
09 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation
  Learning
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo
Tianhao Zhao
Yutian Lin
Bo Du
SSL
30
6
0
04 Nov 2021
Large-Scale Deep Learning Optimizations: A Comprehensive Survey
Large-Scale Deep Learning Optimizations: A Comprehensive Survey
Xiaoxin He
Fuzhao Xue
Xiaozhe Ren
Yang You
32
14
0
01 Nov 2021
Enabling Large Batch Size Training for DNN Models Beyond the Memory
  Limit While Maintaining Performance
Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance
Nathanaël Fijalkow
DoangJoo Synn
Jooyoung Park
Jong-Kook Kim
30
5
0
24 Oct 2021
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning
  on HPC Systems
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
S. Farrell
M. Emani
J. Balma
L. Drescher
Aleksandr Drozd
...
Akihiro Tabuchi
V. Vishwanath
Mohamed Wahib
Masafumi Yamazaki
Junqi Yin
VLM
37
35
0
21 Oct 2021
A Unified and Refined Convergence Analysis for Non-Convex Decentralized
  Learning
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
Sulaiman A. Alghunaim
Kun Yuan
42
57
0
19 Oct 2021
DECAR: Deep Clustering for learning general-purpose Audio
  Representations
DECAR: Deep Clustering for learning general-purpose Audio Representations
Sreyan Ghosh
Sandesh V Katta
Ashish Seth
S. Umesh
SSL
36
12
0
17 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint
  Classifier Learning
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
Dahyun Kim
Jonghyun Choi
SSL
MQ
25
5
0
17 Oct 2021
Trade-offs of Local SGD at Scale: An Empirical Study
Trade-offs of Local SGD at Scale: An Empirical Study
Jose Javier Gonzalez Ortiz
Jonathan Frankle
Michael G. Rabbat
Ari S. Morcos
Nicolas Ballas
FedML
43
19
0
15 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
60
18
0
14 Oct 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
183
183
0
13 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive
  Self-supervision
Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
SSL
21
26
0
11 Oct 2021
Weakly Supervised Contrastive Learning
Weakly Supervised Contrastive Learning
Mingkai Zheng
Fei Wang
Shan You
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
SSL
45
121
0
10 Oct 2021
Previous
123...10116789
Next