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Contrasting Contrastive Self-Supervised Representation Learning
  Pipelines

Contrasting Contrastive Self-Supervised Representation Learning Pipelines

25 March 2021
Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
Kiana Ehsani
Roozbeh Mottaghi
    SSL
ArXivPDFHTML

Papers citing "Contrasting Contrastive Self-Supervised Representation Learning Pipelines"

12 / 12 papers shown
Title
Task-Oriented Koopman-Based Control with Contrastive Encoder
Task-Oriented Koopman-Based Control with Contrastive Encoder
Xubo Lyu
Hanyang Hu
Seth Siriya
Ye Pu
Mo Chen
26
5
0
28 Sep 2023
Constructive Assimilation: Boosting Contrastive Learning Performance
  through View Generation Strategies
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han
Seung-Jun Han
Shivchander Sudalairaj
Charlotte Loh
Rumen Dangovski
...
Pulkit Agrawal
Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
14
1
0
02 Apr 2023
Rethinking Self-Supervised Visual Representation Learning in
  Pre-training for 3D Human Pose and Shape Estimation
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Hongsuk Choi
Hyeongjin Nam
T. Lee
Gyeongsik Moon
Kyoung Mu Lee
26
7
0
09 Mar 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
16
27
0
10 Feb 2023
Improving Fine-tuning of Self-supervised Models with Contrastive
  Initialization
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
SSL
13
19
0
30 Jul 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
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
14
4
0
18 Apr 2022
Tradeoffs Between Contrastive and Supervised Learning: An Empirical
  Study
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
A. Karthik
Mike Wu
Noah D. Goodman
Alex Tamkin
SSL
24
5
0
10 Dec 2021
Self-supervised Learning is More Robust to Dataset Imbalance
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu
Jeff Z. HaoChen
Adrien Gaidon
Tengyu Ma
OOD
SSL
31
156
0
11 Oct 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip H. S. Torr
UQCV
25
84
0
06 Jun 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,367
0
09 Mar 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,173
0
16 Sep 2016
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