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  4. Cited By
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
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation
  without Ground-truth
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Bo Zhou
Chi Liu
James S. Duncan
MedIm
100
18
0
12 Jul 2021
Contrast R-CNN for Continual Learning in Object Detection
Contrast R-CNN for Continual Learning in Object Detection
Kai Zheng
Cen Chen
CLLObjD
81
1
0
11 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 Meng
VLM
60
37
0
07 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong Liu
Jie Zhang
Chunyan Miao
SSL
92
84
0
07 Jul 2021
Neural Mixture Models with Expectation-Maximization for End-to-end Deep
  Clustering
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
Dumindu Tissera
Kasun Vithanage
Rukshan Wijesinghe
A. Xavier
Sanath Jayasena
Subha Fernando
Ranga Rodrigo
FedML
34
4
0
06 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
115
83
0
06 Jul 2021
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Wei Li
Yuanjun Xiong
Shuo Yang
Mingze Xu
Yongxin Wang
Wei Xia
76
47
0
06 Jul 2021
Do Different Tracking Tasks Require Different Appearance Models?
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang
Hengshuang Zhao
Yali Li
Shengjin Wang
Philip Torr
Luca Bertinetto
111
86
0
05 Jul 2021
Distance-based Hyperspherical Classification for Multi-source Open-Set
  Domain Adaptation
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
S. Bucci
Francesco Cappio Borlino
Barbara Caputo
Tatiana Tommasi
VLM
89
15
0
05 Jul 2021
Continual Contrastive Learning for Image Classification
Continual Contrastive Learning for Image Classification
Zhiwei Lin
Yongtao Wang
Hongxiang Lin
SSLCLL
75
15
0
05 Jul 2021
Inter-intra Variant Dual Representations forSelf-supervised Video
  Recognition
Inter-intra Variant Dual Representations forSelf-supervised Video Recognition
Lin Zhang
Qi She
Zhengyang Shen
Changhu Wang
SSL
78
9
0
02 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
96
28
0
02 Jul 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre
  Optimization
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Qing Guo
Junya Chen
Dong Wang
Yuewei Yang
Xinwei Deng
Lawrence Carin
Fan Li
Jing-Zheng Huang
Chenyang Tao
93
21
0
02 Jul 2021
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
Yibao Sun
Xingru Huang
Yaqi Wang
Huiyu Zhou
Qianni Zhang
62
4
0
02 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
110
137
0
01 Jul 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive
  Learning
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Shanshan Wang
Pengjie Ren
Zhumin Chen
Zhaochun Ren
Huasheng Liang
Qiang Yan
Evangelos Kanoulas
Maarten de Rijke
52
5
0
29 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
61
12
0
28 Jun 2021
SRPN: similarity-based region proposal networks for nuclei and cells
  detection in histology images
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
Yibao Sun
Xingru Huang
Huiyu Zhou
Qianni Zhang
78
33
0
25 Jun 2021
Unsupervised Object-Level Representation Learning from Scene Images
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLOCL
88
77
0
22 Jun 2021
Simple Distillation Baselines for Improving Small Self-supervised Models
Simple Distillation Baselines for Improving Small Self-supervised Models
Jindong Gu
Wei Liu
Yonglong Tian
66
8
0
21 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning
Interventional Video Grounding with Dual Contrastive Learning
Guoshun Nan
Rui Qiao
Yao Xiao
Jun Liu
Sicong Leng
H. Zhang
Wei Lu
96
145
0
21 Jun 2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised
  Relation Extraction
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
Tao Chen
Haizhou Shi
Siliang Tang
Zhigang Chen
Leilei Gan
Yueting Zhuang
61
56
0
21 Jun 2021
Neighborhood Contrastive Learning for Novel Class Discovery
Neighborhood Contrastive Learning for Novel Class Discovery
Zhun Zhong
Enrico Fini
Subhankar Roy
Zhiming Luo
Elisa Ricci
N. Sebe
87
149
0
20 Jun 2021
Global and Local Contrastive Self-Supervised Learning for Semantic
  Segmentation of HR Remote Sensing Images
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images
Haifeng Li
Yi Li
Guo Zhang
Ruoyun Liu
Haozhe Huang
Qing Zhu
Chao Tao
SSL
76
120
0
20 Jun 2021
Residual Contrastive Learning for Image Reconstruction: Learning
  Transferable Representations from Noisy Images
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
Nanqing Dong
Matteo Maggioni
Yongxin Yang
Eduardo Pérez-Pellitero
A. Leonardis
Jingyu Sun
SSL
61
6
0
18 Jun 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
52
113
0
17 Jun 2021
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
Fanyi Xiao
Joseph Tighe
Davide Modolo
SSL
68
14
0
17 Jun 2021
Poisoning and Backdooring Contrastive Learning
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini
Andreas Terzis
68
166
0
17 Jun 2021
Unsupervised Path Representation Learning with Curriculum Negative
  Sampling
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Sean Bin Yang
Chenjuan Guo
Jilin Hu
Jiangtao Tang
Bin Yang
SSL
64
52
0
17 Jun 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
88
15
0
17 Jun 2021
$C^3$: Compositional Counterfactual Contrastive Learning for
  Video-grounded Dialogues
C3C^3C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues
Hung Le
Nancy F. Chen
Guosheng Lin
60
2
0
16 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
360
2,857
0
15 Jun 2021
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person
  Re-Identification
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification
Mingkun Li
Chun-Guang Li
Jun Guo
SSL
89
71
0
15 Jun 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine vision
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLMAAML
107
230
0
14 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
AIFinMQAI4MH
177
863
0
14 Jun 2021
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Shaobo Min
Qi Dai
Hongtao Xie
Chuang Gan
Yongdong Zhang
Jingdong Wang
SSL
59
7
0
13 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
62
29
0
11 Jun 2021
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Laura Manduchi
Kieran Chin-Cheong
H. Michel
S. Wellmann
Julia E. Vogt
AI4CE
60
30
0
11 Jun 2021
Refining Pseudo Labels with Clustering Consensus over Generations for
  Unsupervised Object Re-identification
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
Xiao Zhang
Yixiao Ge
Yu Qiao
Hongsheng Li
79
97
0
11 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
150
66
0
10 Jun 2021
MST: Masked Self-Supervised Transformer for Visual Representation
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li
Zhiyang Chen
Fan Yang
Wei Li
Yousong Zhu
...
Rui Deng
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
ViT
98
168
0
10 Jun 2021
Progressive Stage-wise Learning for Unsupervised Feature Representation
  Enhancement
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Zefan Li
Chenxi Liu
Alan Yuille
Bingbing Ni
Wenjun Zhang
Wen Gao
SSL
73
5
0
10 Jun 2021
Fairness-Aware Node Representation Learning
Fairness-Aware Node Representation Learning
Öykü Deniz Köse
Yanning Shen
58
22
0
09 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
99
129
0
09 Jun 2021
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
M. Willetts
Brooks Paige
CMLOOD
59
25
0
09 Jun 2021
CLCC: Contrastive Learning for Color Constancy
CLCC: Contrastive Learning for Color Constancy
Yi-Chen Lo
Chia-Che Chang
Hsuan-Chao Chiu
Yu-Hao Huang
Chia-Ping Chen
Yu-Lin Chang
Kevin Jou
78
50
0
09 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
139
317
0
08 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang
Yujun Shen
Yinghao Xu
Bolei Zhou
96
83
0
08 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
79
118
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
103
322
0
08 Jun 2021
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