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Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

5 May 2018
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
    SSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

50 / 1,940 papers shown
Title
CompRess: Self-Supervised Learning by Compressing Representations
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
82
92
0
28 Oct 2020
Quantifying Learnability and Describability of Visual Concepts Emerging
  in Representation Learning
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina
Ruth C. Fong
Andrea Vedaldi
OCL
80
13
0
27 Oct 2020
RSPNet: Relative Speed Perception for Unsupervised Video Representation
  Learning
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning
Peihao Chen
Deng Huang
Dongliang He
Xiang Long
Runhao Zeng
Shilei Wen
Mingkui Tan
Chuang Gan
SSL
73
134
0
27 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
143
1,127
0
27 Oct 2020
Contrastive Unsupervised Learning for Audio Fingerprinting
Contrastive Unsupervised Learning for Audio Fingerprinting
Zhesong Yu
Xingjian Du
Bilei Zhu
Zejun Ma
76
9
0
26 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zhangyang Wang
108
234
0
26 Oct 2020
Iterative Graph Self-Distillation
Iterative Graph Self-Distillation
Hanlin Zhang
Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric Xing
SSL
134
34
0
23 Oct 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
CLOUD: Contrastive Learning of Unsupervised Dynamics
Jianren Wang
Yujie Lu
Hang Zhao
100
5
0
23 Oct 2020
Hard Example Generation by Texture Synthesis for Cross-domain Shape
  Similarity Learning
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
Huan Fu
Shunming Li
Rongfei Jia
Biwei Huang
Binqiang Zhao
Dacheng Tao
3DV
73
18
0
23 Oct 2020
Unsupervised deep learning for grading of age-related macular
  degeneration using retinal fundus images
Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images
Baladitya Yellapragada
Sascha Hornauer
Kiersten Snyder
Stella X. Yu
Glenn Yiu
MedIm
49
4
0
22 Oct 2020
Momentum Contrast Speaker Representation Learning
Momentum Contrast Speaker Representation Learning
Jangho Lee
Jaihyun Koh
Sungroh Yoon
SSL
62
3
0
22 Oct 2020
Self-supervised Graph Learning for Recommendation
Self-supervised Graph Learning for Recommendation
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
SSL
204
1,183
0
21 Oct 2020
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning
Behzad Bozorgtabar
Dwarikanath Mahapatra
Guillaume Vray
Jean-Philippe Thiran
51
9
0
19 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
195
56
0
19 Oct 2020
Improving Transformation Invariance in Contrastive Representation
  Learning
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
109
24
0
19 Oct 2020
Federated Unsupervised Representation Learning
Federated Unsupervised Representation Learning
Fengda Zhang
Kun Kuang
Zhaoyang You
Tao Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
89
137
0
18 Oct 2020
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation
  Learning
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee
Yian Zhu
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
Honglak Lee
SSL
86
26
0
17 Oct 2020
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for
  Natural Language Understanding
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Yanru Qu
Dinghan Shen
Yelong Shen
Sandra Sajeev
Jiawei Han
Weizhu Chen
204
69
0
16 Oct 2020
What Can You Learn from Your Muscles? Learning Visual Representation
  from Human Interactions
What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions
Kiana Ehsani
Daniel Gordon
T. Nguyen
Roozbeh Mottaghi
Ali Farhadi
3DHSSL
64
2
0
16 Oct 2020
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OODSSL
117
22
0
16 Oct 2020
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OODSSLDRL
142
48
0
16 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences
Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo
B. Hariharan
SSL
128
109
0
15 Oct 2020
Fully Unsupervised Person Re-identification viaSelective Contrastive
  Learning
Fully Unsupervised Person Re-identification viaSelective Contrastive Learning
Bo Pang
Deming Zhai
Junjun Jiang
Xianming Liu
SSL
50
2
0
15 Oct 2020
Self-Supervised Ranking for Representation Learning
Self-Supervised Ranking for Representation Learning
Ali Varamesh
Ali Diba
Tinne Tuytelaars
Luc Van Gool
SSLAI4TS
69
9
0
14 Oct 2020
Back to the Future: Cycle Encoding Prediction for Self-supervised
  Contrastive Video Representation Learning
Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
Xinyu Yang
Majid Mirmehdi
T. Burghardt
96
4
0
14 Oct 2020
CAPT: Contrastive Pre-Training for Learning Denoised Sequence
  Representations
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations
Fuli Luo
Pengcheng Yang
Shicheng Li
Xuancheng Ren
Xu Sun
VLMSSL
73
16
0
13 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSLAI4TS
326
721
0
10 Oct 2020
Watch, read and lookup: learning to spot signs from multiple supervisors
Watch, read and lookup: learning to spot signs from multiple supervisors
Liliane Momeni
Gül Varol
Samuel Albanie
Triantafyllos Afouras
Andrew Zisserman
75
44
0
08 Oct 2020
Unsupervised Representation Learning by InvariancePropagation
Unsupervised Representation Learning by InvariancePropagation
Feng Wang
Huaping Liu
Di Guo
F. Sun
SSL
92
32
0
07 Oct 2020
Support-set bottlenecks for video-text representation learning
Support-set bottlenecks for video-text representation learning
Mandela Patrick
Po-Yao (Bernie) Huang
Yuki M. Asano
Florian Metze
Alexander G. Hauptmann
João Henriques
Andrea Vedaldi
110
249
0
06 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Z. Chen
Subhransu Maji
Erik Learned-Miller
SSLVLM
53
20
0
06 Oct 2020
Pathological Visual Question Answering
Pathological Visual Question Answering
Xuehai He
Zhuo Cai
Wenlan Wei
Yichen Zhang
Luntian Mou
Eric Xing
P. Xie
140
24
0
06 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
85
63
0
05 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning
A Simple Framework for Uncertainty in Contrastive Learning
Mike Wu
Noah D. Goodman
UQCV
96
19
0
05 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual
  Representations
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
SSL
108
79
0
05 Oct 2020
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal
  Transfer
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer
Or Patashnik
Dov Danon
Hao Zhang
Daniel Cohen-Or
61
13
0
05 Oct 2020
Robust High-dimensional Memory-augmented Neural Networks
Robust High-dimensional Memory-augmented Neural Networks
G. Karunaratne
Manuel Schmuck
Manuel Le Gallo
G. Cherubini
Luca Benini
Abu Sebastian
Abbas Rahimi
82
103
0
05 Oct 2020
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
Benjin Zhu
Junqiang Huang
Zeming Li
Xiangyu Zhang
Jian Sun
SSL
79
13
0
05 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang
Long Lian
Zhongqi Miao
Ziwei Liu
Stella X. Yu
137
394
0
05 Oct 2020
Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation Learning
Jayanth Reddy Regatti
A. Deshmukh
Eren Manavoglu
Ürün Dogan
OODSSL
71
20
0
03 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
144
648
0
02 Oct 2020
Open-Set Hypothesis Transfer with Semantic Consistency
Open-Set Hypothesis Transfer with Semantic Consistency
Zeyu Feng
Chang Xu
Dacheng Tao
65
14
0
01 Oct 2020
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Okan Kopuklu
Ji-ming Zheng
Hang Xu
Gerhard Rigoll
76
82
0
30 Sep 2020
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
Yutong Bai
Angtian Wang
Adam Kortylewski
Alan Yuille
106
15
0
29 Sep 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach
  based on Contrastive Learning
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
Haotian Fu
Hongyao Tang
Jianye Hao
Chong Chen
Xidong Feng
Dong Li
Wulong Liu
OffRL
83
50
0
29 Sep 2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Wenhan Xiong
Xiang Lorraine Li
Srini Iyer
Jingfei Du
Patrick Lewis
...
Yashar Mehdad
Wen-tau Yih
Sebastian Riedel
Douwe Kiela
Barlas Oğuz
81
194
0
27 Sep 2020
3D-FUTURE: 3D Furniture shape with TextURE
3D-FUTURE: 3D Furniture shape with TextURE
Huan Fu
Rongfei Jia
Lin Gao
Biwei Huang
Binqiang Zhao
Stephen J. Maybank
Dacheng Tao
3DV
102
262
0
21 Sep 2020
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition
Chaoyou Fu
Xiang Wu
Yibo Hu
Huaibo Huang
Ran He
CVBM
73
85
0
20 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
Guosheng Lin
142
95
0
17 Sep 2020
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation
  with GNT-Xent Loss
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
Yanlun Tu
Jianxing Feng
Yang Yang
SSL
22
1
0
17 Sep 2020
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