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Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning

Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning

27 October 2021
Aakash Kaku
Sahana Upadhya
N. Razavian
    SSL
ArXivPDFHTML

Papers citing "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning"

29 / 29 papers shown
Title
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
611
6,029
0
29 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
270
2,338
0
04 Mar 2021
MedAug: Contrastive learning leveraging patient metadata improves
  representations for chest X-ray interpretation
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Yen Nhi Truong Vu
Richard Wang
N. Balachandar
Can Liu
A. Ng
Pranav Rajpurkar
52
83
0
21 Feb 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
103
514
0
13 Jan 2021
Self-Supervision Closes the Gap Between Weak and Strong Supervision in
  Histology
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene
Axel Camara
O. Moindrot
Axel de Lavergne
P. Courtiol
67
71
0
07 Dec 2020
Self supervised contrastive learning for digital histopathology
Self supervised contrastive learning for digital histopathology
Ozan Ciga
Tony Xu
Anne L. Martel
SSL
148
316
0
27 Nov 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability
  of Chest X-ray Models
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
Hari Sowrirajan
Jingbo Yang
A. Ng
Pranav Rajpurkar
72
86
0
11 Oct 2020
What is being transferred in transfer learning?
What is being transferred in transfer learning?
Behnam Neyshabur
Hanie Sedghi
Chiyuan Zhang
81
519
0
26 Aug 2020
Calibration of Neural Networks using Splines
Calibration of Neural Networks using Splines
Kartik Gupta
Amir M. Rahimi
Thalaiyasingam Ajanthan
Thomas Mensink
C. Sminchisescu
Leonid Sigal
60
106
0
23 Jun 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
72
551
0
18 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
210
4,065
0
17 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest
  CT Images
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images
Xiaocong Chen
Lina Yao
Tao Zhou
Jinming Dong
Yu Zhang
55
170
0
16 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
325
6,773
0
13 Jun 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
OOD
78
291
0
14 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
317
18,686
0
13 Feb 2020
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
155
12,050
0
13 Nov 2019
Similarity of Neural Network Representations Revisited
Similarity of Neural Network Representations Revisited
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
136
1,408
0
01 May 2019
A critical analysis of self-supervision, or what we can learn from a
  single image
A critical analysis of self-supervision, or what we can learn from a single image
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
64
146
0
30 Apr 2019
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
282
2,661
0
20 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
278
10,253
0
10 Jul 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
185
4,345
0
24 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
168
3,450
0
05 May 2018
Regularizing Deep Networks by Modeling and Predicting Label Structure
Regularizing Deep Networks by Modeling and Predicting Label Structure
Mohammadreza Mostajabi
Michael Maire
Gregory Shakhnarovich
NoLa
66
32
0
05 Apr 2018
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
LM&MA
146
2,521
0
05 May 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
509
11,984
0
04 Dec 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
154
2,978
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
122
3,530
0
28 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
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
390
43,589
0
17 Sep 2014
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