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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
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
23
113
0
20 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive
  Learning
Boosting Few-Shot Classification with View-Learnable Contrastive Learning
Xu Luo
Yuxuan Chen
Liangjiang Wen
Lili Pan
Zenglin Xu
VLM
SSL
18
25
0
20 Jul 2021
Towards Unsupervised Domain Generalization
Towards Unsupervised Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Peng Cui
Zheyan Shen
Haoxin Liu
OOD
AI4CE
28
49
0
13 Jul 2021
Categorical Relation-Preserving Contrastive Knowledge Distillation for
  Medical Image Classification
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
Xiaohan Xing
Yuenan Hou
Han Li
Yixuan Yuan
Hongsheng Li
Max Q.-H. Meng
VLM
39
37
0
07 Jul 2021
Improving Text-to-Image Synthesis Using Contrastive Learning
Improving Text-to-Image Synthesis Using Contrastive Learning
Hui Ye
Xiulong Yang
Martin Takáč
Rajshekhar Sunderraman
Shihao Ji
24
83
0
06 Jul 2021
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive
  Learners With FlatNCE
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
Junya Chen
Zhe Gan
Xuan Li
Qing Guo
Liqun Chen
...
Belinda Zeng
Wenlian Lu
Fan Li
Lawrence Carin
Chenyang Tao
43
28
0
02 Jul 2021
Supervised Contrastive Learning for Accented Speech Recognition
Supervised Contrastive Learning for Accented Speech Recognition
Tao Han
Hantao Huang
Ziang Yang
Wei Han
49
15
0
02 Jul 2021
Pretext Tasks selection for multitask self-supervised speech
  representation learning
Pretext Tasks selection for multitask self-supervised speech representation learning
Salah Zaiem
Titouan Parcollet
S. Essid
Abdel Heba
SSL
24
12
0
01 Jul 2021
Exploring Localization for Self-supervised Fine-grained Contrastive
  Learning
Exploring Localization for Self-supervised Fine-grained Contrastive Learning
Di Wu
Siyuan Li
Z. Zang
Stan Z. Li
SSL
37
9
0
30 Jun 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive
  Representation Learning
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou
Caiming Xiong
Xiaotong Yuan
Guosheng Lin
SSL
22
12
0
28 Jun 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLL
SSL
VLM
60
295
0
28 Jun 2021
Lossy Compression for Lossless Prediction
Lossy Compression for Lossless Prediction
Yann Dubois
Benjamin Bloem-Reddy
Karen Ullrich
Chris J. Maddison
22
60
0
21 Jun 2021
Investigating the Role of Negatives in Contrastive Representation
  Learning
Investigating the Role of Negatives in Contrastive Representation Learning
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Dipendra Kumar Misra
SSL
29
49
0
18 Jun 2021
Prototypical Graph Contrastive Learning
Prototypical Graph Contrastive Learning
Shuai Lin
Pan Zhou
Zi-Yuan Hu
Shuojia Wang
Ruihui Zhao
Yefeng Zheng
Liang Lin
Eric Xing
Xiaodan Liang
26
86
0
17 Jun 2021
Deep Contrastive Graph Representation via Adaptive Homotopy Learning
Deep Contrastive Graph Representation via Adaptive Homotopy Learning
Rui Zhang
Chen Lu
Ziheng Jiao
Xuelong Li
29
4
0
17 Jun 2021
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis
  of Head and Prompt Tuning
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
Colin Wei
Sang Michael Xie
Tengyu Ma
24
97
0
17 Jun 2021
On the Power of Multitask Representation Learning in Linear MDP
On the Power of Multitask Representation Learning in Linear MDP
Rui Lu
Gao Huang
S. Du
27
28
0
15 Jun 2021
ATD: Augmenting CP Tensor Decomposition by Self Supervision
ATD: Augmenting CP Tensor Decomposition by Self Supervision
Chaoqi Yang
Cheng Qian
Navjot Singh
Cao Xiao
M. P. M. Brandon Westover
Edgar Solomonik
Jimeng Sun
ViT
27
8
0
15 Jun 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFin
MQ
AI4MH
58
818
0
14 Jun 2021
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task
  Perspective
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
Shulei Wang
SSL
30
3
0
14 Jun 2021
Understanding Latent Correlation-Based Multiview Learning and
  Self-Supervision: An Identifiability Perspective
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
Qinjie Lyu
Xiao Fu
Weiran Wang
Songtao Lu
SSL
23
30
0
14 Jun 2021
Robust Representation Learning via Perceptual Similarity Metrics
Robust Representation Learning via Perceptual Similarity Metrics
Saeid Asgari Taghanaki
Kristy Choi
Amir Khasahmadi
Anirudh Goyal
SSL
18
30
0
11 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates
  Content from Style
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
30
304
0
08 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
24
302
0
08 Jun 2021
Incremental False Negative Detection for Contrastive Learning
Incremental False Negative Detection for Contrastive Learning
Tsai-Shien Chen
Wei-Chih Hung
Hung-Yu Tseng
Shao-Yi Chien
Ming-Hsuan Yang
SSL
CLL
18
61
0
07 Jun 2021
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
Ling Shao
CML
37
128
0
05 Jun 2021
Conditional Contrastive Learning for Improving Fairness in
  Self-Supervised Learning
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning
Martin Q. Ma
Yao-Hung Hubert Tsai
Paul Pu Liang
Han Zhao
Kun Zhang
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
23
14
0
05 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal
  Neighborhood Coding
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
S. Tonekaboni
Danny Eytan
Anna Goldenberg
CML
SSL
AI4TS
27
284
0
01 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
32
131
0
31 May 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
20
574
0
27 May 2021
CoSQA: 20,000+ Web Queries for Code Search and Question Answering
CoSQA: 20,000+ Web Queries for Code Search and Question Answering
Junjie Huang
Duyu Tang
Linjun Shou
Ming Gong
Ke Xu
Daxin Jiang
Ming Zhou
Nan Duan
36
112
0
27 May 2021
Rethinking InfoNCE: How Many Negative Samples Do You Need?
Rethinking InfoNCE: How Many Negative Samples Do You Need?
Chuhan Wu
Fangzhao Wu
Yongfeng Huang
27
43
0
27 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
64
96
0
17 May 2021
Benchmarking down-scaled (not so large) pre-trained language models
Benchmarking down-scaled (not so large) pre-trained language models
Matthias Aßenmacher
P. Schulze
C. Heumann
14
1
0
11 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation
  Learning
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
42
12
0
08 May 2021
Graph Pooling via Coarsened Graph Infomax
Graph Pooling via Coarsened Graph Infomax
Yunsheng Pang
Yunxiang Zhao
Dongsheng Li
GNN
39
41
0
04 May 2021
CoCon: Cooperative-Contrastive Learning
CoCon: Cooperative-Contrastive Learning
Nishant Rai
Ehsan Adeli
Kuan-Hui Lee
Adrien Gaidon
Juan Carlos Niebles
SSL
20
18
0
30 Apr 2021
Self-supervised Spatial Reasoning on Multi-View Line Drawings
Self-supervised Spatial Reasoning on Multi-View Line Drawings
Siyuan Xiang
Anbang Yang
Yanfei Xue
Yaoqing Yang
Chen Feng
SSL
3DPC
34
1
0
27 Apr 2021
Conditional independence for pretext task selection in Self-supervised
  speech representation learning
Conditional independence for pretext task selection in Self-supervised speech representation learning
Salah Zaiem
Titouan Parcollet
S. Essid
SSL
6
4
0
15 Apr 2021
Towards Explainable Multi-Party Learning: A Contrastive Knowledge
  Sharing Framework
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
Yuan Gao
Jiawei Li
Maoguo Gong
Yu Xie
•. A. K. Qin
22
0
0
14 Apr 2021
Disentangled Contrastive Learning for Learning Robust Textual
  Representations
Disentangled Contrastive Learning for Learning Robust Textual Representations
Xiang Chen
Xin Xie
Zhen Bi
Hongbin Ye
Shumin Deng
Ningyu Zhang
Huajun Chen
35
5
0
11 Apr 2021
Contrastive Learning of Global-Local Video Representations
Contrastive Learning of Global-Local Video Representations
Shuang Ma
Zhaoyang Zeng
Daniel J. McDuff
Yale Song
SSL
32
7
0
07 Apr 2021
Instance Level Affinity-Based Transfer for Unsupervised Domain
  Adaptation
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
Astuti Sharma
Tarun Kalluri
Manmohan Chandraker
20
48
0
03 Apr 2021
Contrastive Reasoning in Neural Networks
Contrastive Reasoning in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
17
10
0
23 Mar 2021
Self-supervised Representation Learning with Relative Predictive Coding
Self-supervised Representation Learning with Relative Predictive Coding
Yao-Hung Hubert Tsai
Martin Q. Ma
Muqiao Yang
Han Zhao
Louis-Philippe Morency
Ruslan Salakhutdinov
SSL
AI4TS
38
36
0
21 Mar 2021
Structure Inducing Pre-Training
Structure Inducing Pre-Training
Matthew B. A. McDermott
Brendan Yap
Peter Szolovits
Marinka Zitnik
42
18
0
18 Mar 2021
For Manifold Learning, Deep Neural Networks can be Locality Sensitive
  Hash Functions
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions
Nishanth Dikkala
Gal Kaplun
Rina Panigrahy
19
6
0
11 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GAN
DRL
18
6
0
05 Mar 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream
  Data? A Theoretical Analysis
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
Jiaye Teng
Weiran Huang
Haowei He
SSL
29
11
0
05 Mar 2021
Contrastive learning of strong-mixing continuous-time stochastic
  processes
Contrastive learning of strong-mixing continuous-time stochastic processes
Bingbin Liu
Pradeep Ravikumar
Andrej Risteski
SSL
30
3
0
03 Mar 2021
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