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A Theoretical Analysis of Contrastive Unsupervised Representation
  Learning

A Theoretical Analysis of Contrastive Unsupervised Representation Learning

25 February 2019
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
    SSL
ArXivPDFHTML

Papers citing "A Theoretical Analysis of Contrastive Unsupervised Representation Learning"

50 / 504 papers shown
Title
Don't miss the Mismatch: Investigating the Objective Function Mismatch
  for Unsupervised Representation Learning
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning
Bonifaz Stuhr
Jürgen Brauer
32
1
0
04 Sep 2020
Active Contrastive Learning of Audio-Visual Video Representations
Active Contrastive Learning of Audio-Visual Video Representations
Shuang Ma
Zhaoyang Zeng
Daniel J. McDuff
Yale Song
VLM
SSL
24
8
0
31 Aug 2020
Self-supervised Video Representation Learning by Uncovering
  Spatio-temporal Statistics
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
Jiangliu Wang
Jianbo Jiao
Linchao Bao
Shengfeng He
Wei Liu
Yunhui Liu
SSL
AI4TS
21
55
0
31 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
21
58
0
26 Aug 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
35
163
0
24 Aug 2020
Functional Regularization for Representation Learning: A Unified
  Theoretical Perspective
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
Siddhant Garg
Yingyu Liang
SSL
8
19
0
06 Aug 2020
Predicting What You Already Know Helps: Provable Self-Supervised
  Learning
Predicting What You Already Know Helps: Provable Self-Supervised Learning
J. Lee
Qi Lei
Nikunj Saunshi
Jiacheng Zhuo
SSL
19
186
0
03 Aug 2020
On Learning Universal Representations Across Languages
On Learning Universal Representations Across Languages
Xiangpeng Wei
Rongxiang Weng
Yue Hu
Luxi Xing
Heng Yu
Weihua Luo
SSL
VLM
33
85
0
31 Jul 2020
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
Youngsung Kim
Jinwoo Shin
Eunho Yang
Sung Ju Hwang
NAI
6
25
0
23 Jul 2020
Slot Contrastive Networks: A Contrastive Approach for Representing
  Objects
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah
Sarath Chandar
OCL
DRL
21
14
0
18 Jul 2020
Representation Learning via Adversarially-Contrastive Optimal Transport
Representation Learning via Adversarially-Contrastive Optimal Transport
A. Cherian
Shuchin Aeron
OT
4
7
0
11 Jul 2020
Contrastive Code Representation Learning
Contrastive Code Representation Learning
Paras Jain
Ajay Jain
Tianjun Zhang
Pieter Abbeel
Joseph E. Gonzalez
Ion Stoica
SSL
DRL
34
149
0
09 Jul 2020
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
19
553
0
01 Jul 2020
A No-Free-Lunch Theorem for MultiTask Learning
A No-Free-Lunch Theorem for MultiTask Learning
Steve Hanneke
Samory Kpotufe
20
39
0
29 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank
  MDPs
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
Alekh Agarwal
Sham Kakade
A. Krishnamurthy
Wen Sun
OffRL
41
223
0
18 Jun 2020
Supervision Accelerates Pre-training in Contrastive Semi-Supervised
  Learning of Visual Representations
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations
Mahmoud Assran
Nicolas Ballas
Lluis Castrejon
Michael G. Rabbat
SSL
8
3
0
18 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
52
1,587
0
15 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
137
6,665
0
13 Jun 2020
Attention improves concentration when learning node embeddings
Attention improves concentration when learning node embeddings
Matthew Dippel
Adam Kiezun
Tanay Mehta
Ravi Sundaram
S. Thirumalai
Akshar Varma
GNN
22
0
0
11 Jun 2020
Rethinking the Truly Unsupervised Image-to-Image Translation
Rethinking the Truly Unsupervised Image-to-Image Translation
Kyungjune Baek
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Hyunjung Shim
VLM
LRM
24
102
0
11 Jun 2020
Pairwise Supervision Can Provably Elicit a Decision Boundary
Pairwise Supervision Can Provably Elicit a Decision Boundary
Han Bao
Takuya Shimada
Liyuan Xu
Issei Sato
Masashi Sugiyama
48
10
0
11 Jun 2020
DisCont: Self-Supervised Visual Attribute Disentanglement using Context
  Vectors
DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors
Sarthak Bhagat
Vishaal Udandarao
Shagun Uppal
CoGe
SSL
DRL
16
6
0
10 Jun 2020
Self-supervised Learning from a Multi-view Perspective
Self-supervised Learning from a Multi-view Perspective
Yao-Hung Hubert Tsai
Yue Wu
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
25
30
0
10 Jun 2020
Neural Methods for Point-wise Dependency Estimation
Neural Methods for Point-wise Dependency Estimation
Yao-Hung Hubert Tsai
Han Zhao
M. Yamada
Louis-Philippe Morency
Ruslan Salakhutdinov
33
31
0
09 Jun 2020
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual
  Representations
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
John Giorgi
Osvald Nitski
Bo Wang
Gary D. Bader
SSL
39
490
0
05 Jun 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
45
1,787
0
20 May 2020
Modularizing Deep Learning via Pairwise Learning With Kernels
Modularizing Deep Learning via Pairwise Learning With Kernels
Shiyu Duan
Shujian Yu
José C. Príncipe
MoMe
27
20
0
12 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
87
956
0
11 May 2020
COBRA: Contrastive Bi-Modal Representation Algorithm
COBRA: Contrastive Bi-Modal Representation Algorithm
Vishaal Udandarao
A. Maiti
Deepak Srivatsav
Suryatej Reddy Vyalla
Yifang Yin
R. Shah
19
21
0
07 May 2020
Information Leakage in Embedding Models
Information Leakage in Embedding Models
Congzheng Song
A. Raghunathan
MIACV
21
262
0
31 Mar 2020
Machine learning as a model for cultural learning: Teaching an algorithm
  what it means to be fat
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Alina Arseniev-Koehler
J. Foster
43
46
0
24 Mar 2020
Temporally Coherent Embeddings for Self-Supervised Video Representation
  Learning
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning
Joshua Knights
Ben Harwood
Daniel Ward
Anthony Vanderkop
Olivia Mackenzie-Ross
Peyman Moghadam
AI4TS
20
38
0
21 Mar 2020
Self-Supervised Contextual Bandits in Computer Vision
Self-Supervised Contextual Bandits in Computer Vision
A. Deshmukh
Abhimanu Kumar
Levi Boyles
Denis Xavier Charles
Eren Manavoglu
Ürün Dogan
SSL
31
3
0
18 Mar 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
Contrastive estimation reveals topic posterior information to linear
  models
Contrastive estimation reveals topic posterior information to linear models
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
14
64
0
04 Mar 2020
Provable Representation Learning for Imitation Learning via Bi-level
  Optimization
Provable Representation Learning for Imitation Learning via Bi-level Optimization
Sanjeev Arora
S. Du
Sham Kakade
Yuping Luo
Nikunj Saunshi
23
60
0
24 Feb 2020
Few-Shot Learning via Learning the Representation, Provably
Few-Shot Learning via Learning the Representation, Provably
S. Du
Wei Hu
Sham Kakade
J. Lee
Qi Lei
SSL
10
257
0
21 Feb 2020
Strength from Weakness: Fast Learning Using Weak Supervision
Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson
Stefanie Jegelka
S. Sra
43
32
0
19 Feb 2020
CoLES: Contrastive Learning for Event Sequences with Self-Supervision
CoLES: Contrastive Learning for Event Sequences with Self-Supervision
Dmitrii Babaev
Ivan Kireev
Nikita Ovsov
Maria Ivanova
Gleb Gusev
Ivan Nazarov
Alexander Tuzhilin
SSL
AI4TS
25
26
0
19 Feb 2020
Data Transformation Insights in Self-supervision with Clustering Tasks
Data Transformation Insights in Self-supervision with Clustering Tasks
Abhimanu Kumar
A. Deshmukh
Ürün Dogan
Denis Xavier Charles
Eren Manavoglu
9
2
0
18 Feb 2020
Convergence of End-to-End Training in Deep Unsupervised Contrastive
  Learning
Convergence of End-to-End Training in Deep Unsupervised Contrastive Learning
Zixin Wen
SSL
21
2
0
17 Feb 2020
NODIS: Neural Ordinary Differential Scene Understanding
NODIS: Neural Ordinary Differential Scene Understanding
Cong Yuren
H. Ackermann
Wentong Liao
M. Yang
Bodo Rosenhahn
26
16
0
14 Jan 2020
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
47
1,034
0
23 Oct 2019
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
226
166
0
18 Oct 2019
PAC-Bayesian Contrastive Unsupervised Representation Learning
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa
Pascal Germain
Benjamin Guedj
SSL
BDL
13
26
0
10 Oct 2019
Differentially Private Meta-Learning
Differentially Private Meta-Learning
Jeffrey Li
M. Khodak
S. Caldas
Ameet Talwalkar
FedML
35
106
0
12 Sep 2019
On Mutual Information Maximization for Representation Learning
On Mutual Information Maximization for Representation Learning
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
43
486
0
31 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in
  Interactive Environments
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Evan Racah
C. Pal
SSL
27
2
0
27 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
100
2,369
0
13 Jun 2019
Noise Contrastive Meta-Learning for Conditional Density Estimation using
  Kernel Mean Embeddings
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
Jean-François Ton
Lucian Chan
Yee Whye Teh
Dino Sejdinovic
27
12
0
05 Jun 2019
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