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Understanding Deep Contrastive Learning via Coordinate-wise Optimization

Understanding Deep Contrastive Learning via Coordinate-wise Optimization

29 January 2022
Yuandong Tian
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Papers citing "Understanding Deep Contrastive Learning via Coordinate-wise Optimization"

43 / 43 papers shown
Title
Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation
Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation
Zhi Qu
Chenchen Ding
Taro Watanabe
105
1
0
12 Jun 2024
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
106
346
0
18 Oct 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
210
184
0
13 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Zou
Linjun Zhang
SSL
70
50
0
06 Oct 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
46
306
0
08 Jun 2021
Toward Understanding the Feature Learning Process of Self-supervised
  Contrastive Learning
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen
Yuanzhi Li
SSL
MLT
47
133
0
31 May 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
223
2,321
0
04 Mar 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
189
3,992
0
20 Nov 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
109
768
0
09 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
93
636
0
02 Oct 2020
Understanding Self-supervised Learning with Dual Deep Networks
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian
Lantao Yu
Xinlei Chen
Surya Ganguli
SSL
38
79
0
01 Oct 2020
Predicting What You Already Know Helps: Provable Self-Supervised
  Learning
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason D. Lee
Qi Lei
Nikunj Saunshi
Jiacheng Zhuo
SSL
50
187
0
03 Aug 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
159
4,051
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
276
6,718
0
13 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
75
1,313
0
20 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
120
4,505
0
23 Apr 2020
A Comparison of Metric Learning Loss Functions for End-To-End Speaker
  Verification
A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
Juan Manuel Coria
H. Bredin
Sahar Ghannay
S. Rosset
38
15
0
31 Mar 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
255
18,607
0
13 Feb 2020
On Layer Normalization in the Transformer Architecture
On Layer Normalization in the Transformer Architecture
Ruibin Xiong
Yunchang Yang
Di He
Kai Zheng
Shuxin Zheng
Chen Xing
Huishuai Zhang
Yanyan Lan
Liwei Wang
Tie-Yan Liu
AI4CE
95
973
0
12 Feb 2020
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSL
VLM
74
1,448
0
04 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
113
12,007
0
13 Nov 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
131
2,385
0
13 Jun 2019
A Theoretical Analysis of Contrastive Unsupervised Representation
  Learning
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
SSL
86
768
0
25 Feb 2019
Learning and Generalization in Overparameterized Neural Networks, Going
  Beyond Two Layers
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu
Yuanzhi Li
Yingyu Liang
MLT
131
769
0
12 Nov 2018
A theoretical framework for deep locally connected ReLU network
A theoretical framework for deep locally connected ReLU network
Yuandong Tian
PINN
41
10
0
28 Sep 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
78
1,878
0
15 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
229
10,152
0
10 Jul 2018
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers
  are Automatically Balanced
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
S. Du
Wei Hu
Jason D. Lee
MLT
119
239
0
04 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
148
3,437
0
05 May 2018
On the Optimization of Deep Networks: Implicit Acceleration by
  Overparameterization
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora
Nadav Cohen
Elad Hazan
88
481
0
19 Feb 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
143
1,264
0
12 Jan 2018
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Itay Safran
Ohad Shamir
124
263
0
24 Dec 2017
Deep linear neural networks with arbitrary loss: All local minima are
  global
Deep linear neural networks with arbitrary loss: All local minima are global
T. Laurent
J. V. Brecht
ODL
34
136
0
05 Dec 2017
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of
  Spurious Local Minima
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
S. Du
Jason D. Lee
Yuandong Tian
Barnabás Póczós
Aarti Singh
MLT
125
236
0
03 Dec 2017
Identity Matters in Deep Learning
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
61
399
0
14 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
631
36,599
0
25 Aug 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
251
10,412
0
21 Jul 2016
Deep Learning without Poor Local Minima
Deep Learning without Poor Local Minima
Kenji Kawaguchi
ODL
165
922
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedML
SSL
DML
75
1,641
0
19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
281
13,079
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
842
149,474
0
22 Dec 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
125
1,830
0
20 Dec 2013
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