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Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
v1v2 (latest)

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

26 June 2014
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
    OODSSL
ArXiv (abs)PDFHTML

Papers citing "Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks"

50 / 379 papers shown
Title
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
33
4
0
22 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
193
56
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
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
131
64
0
14 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for
  Semi-Supervised Learning
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
79
27
0
12 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
324
718
0
10 Oct 2020
Representation learning from videos in-the-wild: An object-centric
  approach
Representation learning from videos in-the-wild: An object-centric approach
Rob Romijnders
Aravindh Mahendran
Michael Tschannen
Josip Djolonga
Marvin Ritter
N. Houlsby
Mario Lucic
OCLSSL
70
8
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
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
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
142
647
0
02 Oct 2020
Contrastive Clustering
Contrastive Clustering
Yunfan Li
Peng Hu
Zitao Liu
Dezhong Peng
Qiufeng Wang
Xi Peng
76
635
0
21 Sep 2020
Self-supervised pre-training and contrastive representation learning for
  multiple-choice video QA
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA
Seonhoon Kim
Seohyeong Jeong
Eunbyul Kim
Inho Kang
Nojun Kwak
SSL
113
40
0
17 Sep 2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D
  Skeleton Based Person Re-Identification
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Haocong Rao
Siqi Wang
Xiping Hu
Mingkui Tan
Yi Guo
Jun Cheng
Xinwang Liu
Bin Hu
3DH
76
69
0
05 Sep 2020
A Framework For Contrastive Self-Supervised Learning And Designing A New
  Approach
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon
Kyunghyun Cho
SSL
71
104
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
SSLVLM
76
59
0
26 Aug 2020
Self-Path: Self-supervision for Classification of Pathology Images with
  Limited Annotations
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
Navid Alemi Koohbanani
Balagopal Unnikrishnan
S. Khurram
Pavitra Krishnaswamy
Nasir M. Rajpoot
SSL
99
166
0
12 Aug 2020
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D
  Vehicle Detector
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector
Cédric Picron
Punarjay Chakravarty
Tom Roussel
Tinne Tuytelaars
24
0
0
29 Jul 2020
Demystifying Contrastive Self-Supervised Learning: Invariances,
  Augmentations and Dataset Biases
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam
Abhinav Gupta
SSL
91
219
0
28 Jul 2020
Self-supervised Learning for Large-scale Item Recommendations
Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao
Xinyang Yi
D. Cheng
Felix X. Yu
Ting-Li Chen
...
Lichan Hong
Ed H. Chi
S. Tjoa
Jieqi Kang
Evan Ettinger
SSL
84
49
0
25 Jul 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
294
338
0
22 Jul 2020
Exploiting Temporal Coherence for Self-Supervised One-shot Video
  Re-identification
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Dripta S. Raychaudhuri
Amit K. Roy-Chowdhury
70
11
0
21 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang
C. Biffi
Chen Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
104
210
0
20 Jul 2020
Semi-Siamese Training for Shallow Face Learning
Semi-Siamese Training for Shallow Face Learning
Hang Du
Hailin Shi
Yuchi Liu
Jun Wang
Zhen Lei
Dan Zeng
Tao Mei
CVBM3DH
119
27
0
16 Jul 2020
Whitening for Self-Supervised Representation Learning
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov
Aliaksandr Siarohin
E. Sangineto
N. Sebe
SSL
110
316
0
13 Jul 2020
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action
  Recognition
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
Chenyang Si
Xuecheng Nie
Wei Wang
Liang Wang
Tieniu Tan
Jiashi Feng
SSL
110
66
0
12 Jul 2020
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Yan Liu
Lingqiao Liu
Peng Wang
Pingping Zhang
Yinjie Lei
SSL
64
77
0
07 Jul 2020
Data Augmenting Contrastive Learning of Speech Representations in the
  Time Domain
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Eugene Kharitonov
M. Rivière
Gabriel Synnaeve
Lior Wolf
Pierre-Emmanuel Mazaré
Matthijs Douze
Emmanuel Dupoux
134
118
0
02 Jul 2020
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
103
567
0
01 Jul 2020
Self-Supervised MultiModal Versatile Networks
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac
Adrià Recasens
R. Schneider
Relja Arandjelović
Jason Ramapuram
J. Fauw
Lucas Smaira
Sander Dieleman
Andrew Zisserman
SSL
184
375
0
29 Jun 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary
  Task
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
Pratik Mazumder
Pravendra Singh
Vinay P. Namboodiri
72
9
0
29 Jun 2020
On Equivariant and Invariant Learning of Object Landmark Representations
On Equivariant and Invariant Learning of Object Landmark Representations
Zezhou Cheng
Jong-Chyi Su
Subhransu Maji
SSL
55
7
0
26 Jun 2020
Parametric Instance Classification for Unsupervised Visual Feature
  Learning
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue Cao
Zhenda Xie
B. Liu
Yutong Lin
Zheng Zhang
Han Hu
VLM
73
61
0
25 Jun 2020
Unsupervised Image Classification for Deep Representation Learning
Unsupervised Image Classification for Deep Representation Learning
Weijie Chen
Shiliang Pu
Di Xie
Shicai Yang
Yilu Guo
Luojun Lin
SSLVLM
70
14
0
20 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
31
3
0
18 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
107
187
0
18 Jun 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
95
552
0
18 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels?
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel
Ibrahim Alabdulmohsin
Ilya O. Tolstikhin
R. Baldock
Olivier Bousquet
Sylvain Gelly
Daniel Keysers
FedML
165
89
0
18 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning
Self-supervised Knowledge Distillation for Few-shot Learning
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
SSL
96
93
0
17 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
442
6,857
0
13 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
131
413
0
13 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
112
654
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
VLMLRM
85
104
0
11 Jun 2020
Self-Supervised Relational Reasoning for Representation Learning
Self-Supervised Relational Reasoning for Representation Learning
Massimiliano Patacchiola
Amos Storkey
OODSSL
76
63
0
10 Jun 2020
3D Self-Supervised Methods for Medical Imaging
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb
W. Loetzsch
Noel Danz
Julius Severin
Thomas Gaertner
Benjamin Bergner
C. Lippert
SSL
124
214
0
06 Jun 2020
Network Bending: Expressive Manipulation of Deep Generative Models
Network Bending: Expressive Manipulation of Deep Generative Models
Terence Broad
F. Leymarie
M. Grierson
AI4CE
39
2
0
25 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
120
1,338
0
20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSLDRL
141
979
0
11 May 2020
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor
  Segmentation using Magnetic Resonance FLAIR Images
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
Ramy A. Zeineldin
Mohamed E. Karar
J. Coburger
C. Wirtz
Oliver Burgert
47
176
0
26 Apr 2020
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