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2005.04966
Cited By
Prototypical Contrastive Learning of Unsupervised Representations
11 May 2020
Junnan Li
Pan Zhou
Caiming Xiong
S. Hoi
SSL
DRL
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Papers citing
"Prototypical Contrastive Learning of Unsupervised Representations"
50 / 581 papers shown
Title
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
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Yiyou Sun
Ousmane Amadou Dia
Yixuan Li
OODD
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08 Mar 2022
Consistent Representation Learning for Continual Relation Extraction
Kang Zhao
Hua Xu
Jian Yang
Kai Gao
CLL
20
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05 Mar 2022
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
Chanyong Jung
Gihyun Kwon
Jong Chul Ye
24
84
0
03 Mar 2022
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Rui Cao
Yihao Wang
Y. Liang
Ling Gao
Jie Zheng
Jie Ren
Zheng Wang
22
34
0
26 Feb 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Zhuoning Yuan
Yuexin Wu
Zi-qi Qiu
Xianzhi Du
Lijun Zhang
Denny Zhou
Tianbao Yang
32
26
0
24 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
Kaize Ding
Yancheng Wang
Yingzhen Yang
Huan Liu
25
22
0
17 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
Yue Xing
Qifan Song
Guang Cheng
14
4
0
14 Feb 2022
Learning Weakly-Supervised Contrastive Representations
Yao-Hung Hubert Tsai
Tianqi Li
Weixin Liu
Pei-Kai Liao
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
14
9
0
14 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
Zihan Lin
Changxin Tian
Yupeng Hou
Wayne Xin Zhao
17
418
0
13 Feb 2022
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Hangwei Qian
Tian Tian
C. Miao
SSL
22
50
0
12 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
45
386
0
07 Feb 2022
Intent Contrastive Learning for Sequential Recommendation
Yong-Guang Chen
Zhiwei Liu
Jia Li
Julian McAuley
Caiming Xiong
37
288
0
05 Feb 2022
HCSC: Hierarchical Contrastive Selective Coding
Yuanfan Guo
Minghao Xu
Jiawen Li
Bingbing Ni
Xuanyu Zhu
Zhenbang Sun
Yi Tian Xu
13
70
0
01 Feb 2022
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
Dennis Grinwald
Kirill Bykov
Shinichi Nakajima
Marina M.-C. Höhne
23
5
0
26 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
Haobo Wang
Rui Xiao
Yixuan Li
Lei Feng
Gang Niu
Gang Chen
J. Zhao
VLM
41
25
0
22 Jan 2022
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Zhuowei Li
Zihao Liu
Zhiqiang Hu
Qing Xia
Ruiqin Xiong
Shaoting Zhang
Dimitris N. Metaxas
Tingting Jiang
SSL
27
8
0
21 Jan 2022
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation
Donald Shenaj
F. Barbato
Umberto Michieli
Pietro Zanuttigh
CLL
28
16
0
18 Jan 2022
ExpertNet: A Symbiosis of Classification and Clustering
Shivin Srivastava
Kenji Kawaguchi
Vaibhav Rajan
9
1
0
17 Jan 2022
Interactive Contrastive Learning for Self-supervised Entity Alignment
Kaisheng Zeng
Zhenhao Dong
Lei Hou
Yixin Cao
Minghao Hu
Jifan Yu
Xin Lv
Juanzi Li
Ling Feng
21
25
0
17 Jan 2022
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification
Menglin Wang
Jiachen Li
Baisheng Lai
Xiaojin Gong
Xiansheng Hua
17
22
0
15 Jan 2022
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning
Haopeng Hou
16
2
0
11 Jan 2022
Representation Learning via Consistent Assignment of Views to Clusters
T. Silva
Adín Ramirez Rivera
SSL
6
8
0
31 Dec 2021
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Yunji Kim
Jung-Woo Ha
GAN
19
13
0
30 Dec 2021
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
Weihang Dai
X. Li
W. H. Chiu
Michael D Kuo
Kwang-Ting Cheng
MedIm
28
21
0
22 Dec 2021
Max-Margin Contrastive Learning
Anshul B. Shah
S. Sra
Ramalingam Chellappa
A. Cherian
SSL
21
44
0
21 Dec 2021
Rethinking Nearest Neighbors for Visual Classification
Menglin Jia
Bor-Chun Chen
Zuxuan Wu
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
SSL
38
10
0
15 Dec 2021
Towards General and Efficient Active Learning
Yichen Xie
M. Tomizuka
Wei Zhan
VLM
32
10
0
15 Dec 2021
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Chenxin Tao
Honghui Wang
Xizhou Zhu
Jiahua Dong
S. Song
Gao Huang
Jifeng Dai
SSL
30
60
0
09 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
132
81
0
06 Dec 2021
BEVT: BERT Pretraining of Video Transformers
Rui Wang
Dongdong Chen
Zuxuan Wu
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Yu-Gang Jiang
Luowei Zhou
Lu Yuan
ViT
36
203
0
02 Dec 2021
InsCLR: Improving Instance Retrieval with Self-Supervision
Zelu Deng
Yujie Zhong
Sheng Guo
Weilin Huang
20
13
0
02 Dec 2021
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Yuki M. Asano
Aaqib Saeed
30
7
0
01 Dec 2021
Object-Aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
SSL
18
22
0
01 Dec 2021
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
S. Canu
SSL
19
30
0
29 Nov 2021
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
Yunjie Tian
Lingxi Xie
Xiaopeng Zhang
Jiemin Fang
Haohang Xu
Wei Huang
Jianbin Jiao
Qi Tian
QiXiang Ye
SSL
GAN
28
16
0
25 Nov 2021
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Zhizhong Huang
Jie Chen
Junping Zhang
Hongming Shan
21
87
0
23 Nov 2021
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
Linus Ericsson
H. Gouk
Timothy M. Hospedales
SSL
13
15
0
22 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSL
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25
2
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08 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
31
67
0
28 Oct 2021
Directional Self-supervised Learning for Heavy Image Augmentations
Yalong Bai
Yifan Yang
Wei Zhang
Tao Mei
21
20
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26 Oct 2021
Prototypical Classifier for Robust Class-Imbalanced Learning
Tong Wei
Jiang-Xin Shi
Yu-Feng Li
Min-Ling Zhang
NoLa
9
16
0
22 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
G. Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
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201
102
0
21 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
S. Hoi
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25
13
0
19 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
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13
336
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Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
Dahyun Kim
Jonghyun Choi
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MQ
22
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17 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
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Jinseo Jeong
Sang-chul Moon
Gunhee Kim
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32
39
0
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Self-Supervised Learning by Estimating Twin Class Distributions
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Tao Kong
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Huaping Liu
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55
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Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
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Zehua Fu
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90
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Rethinking Supervised Pre-training for Better Downstream Transferring
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