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Does Learning from Decentralized Non-IID Unlabeled Data Benefit from
  Self Supervision?

Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?

20 October 2022
Lirui Wang
Kai Zhang
Yunzhu Li
Yonglong Tian
Russ Tedrake
ArXivPDFHTML

Papers citing "Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?"

23 / 23 papers shown
Title
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
Ye Lin Tun
Chu Myaet Thwal
Le Quang Huy
Minh N. H. Nguyen
Choong Seon Hong
FedML
88
2
0
22 Jan 2024
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
427
7,705
0
11 Nov 2021
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
69
144
0
21 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
52
315
0
08 Jun 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
271
809
0
15 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
419
3,826
0
11 Feb 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 2020
Contrastive learning, multi-view redundancy, and linear models
Contrastive learning, multi-view redundancy, and linear models
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
SSL
63
166
0
24 Aug 2020
Federated Semi-Supervised Learning with Inter-Client Consistency &
  Disjoint Learning
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
FedML
51
220
0
22 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
215
4,070
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
345
6,773
0
13 Jun 2020
Three Approaches for Personalization with Applications to Federated
  Learning
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
FedML
131
574
0
25 Feb 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
210
6,229
0
10 Dec 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
177
12,065
0
13 Nov 2019
The Non-IID Data Quagmire of Decentralized Machine Learning
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
137
566
0
01 Oct 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
155
2,395
0
13 Jun 2019
Dense Object Nets: Learning Dense Visual Object Descriptors By and For
  Robotic Manipulation
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Peter R. Florence
Lucas Manuelli
Russ Tedrake
SSL
90
278
0
22 Jun 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
154
9,390
0
09 Feb 2018
Decoupled Weight Decay Regularization
Decoupled Weight Decay Regularization
I. Loshchilov
Frank Hutter
OffRL
132
2,132
0
14 Nov 2017
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
291
4,636
0
18 Oct 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,287
0
25 Apr 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
81
1,012
0
22 Mar 2016
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,782
0
19 May 2015
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