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Unsupervised Learning by Predicting Noise

Unsupervised Learning by Predicting Noise

18 April 2017
Piotr Bojanowski
Armand Joulin
    OODSSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Learning by Predicting Noise"

50 / 123 papers shown
Title
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
91
30
0
14 Dec 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
91
68
0
25 Nov 2020
Image Clustering using an Augmented Generative Adversarial Network and
  Information Maximization
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis
Yaochu Jin
S. Thomas
GAN
73
13
0
08 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
152
1,410
0
31 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
78
13
0
27 Oct 2020
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Akiyoshi Kurobe
Yoshikatsu Nakajima
Hideo Saito
Kris Kitani
SSL
25
3
0
13 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
135
806
0
24 Sep 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-supervised Learning of Point Clouds via Orientation Estimation
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed
Tianxing Jiang
Quintessa Qiao
N. Xu
Vladimir G. Kim
3DPCSSL
91
119
0
01 Aug 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular
  Property Prediction
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Zhong Hao
Chengqiang Lu
Zheyuan Hu
Hongya Wang
Zhenya Huang
Qi Liu
Enhong Chen
Cheekong Lee
132
140
0
07 Jul 2020
Space-Time Correspondence as a Contrastive Random Walk
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri
Andrew Owens
Alexei A. Efros
SSLOT
130
304
0
25 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
326
4,109
0
17 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
69
110
0
12 Jun 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLMSSL
115
540
0
25 May 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
182
1,865
0
20 May 2020
Audio-Visual Instance Discrimination with Cross-Modal Agreement
Audio-Visual Instance Discrimination with Cross-Modal Agreement
Pedro Morgado
Nuno Vasconcelos
Ishan Misra
SSL
89
276
0
27 Apr 2020
Extending and Analyzing Self-Supervised Learning Across Domains
Extending and Analyzing Self-Supervised Learning Across Domains
Bram Wallace
B. Hariharan
SSL
43
43
0
24 Apr 2020
Self-Supervised Representation Learning on Document Images
Self-Supervised Representation Learning on Document Images
Adrian Cosma
Mihai Ghidoveanu
Michael Panaitescu-Liess
Marius Popescu
SSL
81
14
0
18 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell
Jia Deng
SSL
70
139
0
31 Mar 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Karsten Roth
Timo Milbich
Bjorn Ommer
132
49
0
24 Mar 2020
One-Shot Informed Robotic Visual Search in the Wild
One-Shot Informed Robotic Visual Search in the Wild
Karim Koreitem
Florian Shkurti
Travis Manderson
Wei-Di Chang
J. A. G. Higuera
Gregory Dudek
61
12
0
22 Mar 2020
A Comprehensive Approach to Unsupervised Embedding Learning based on AND
  Algorithm
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
Sungwon Han
Yizhan Xu
Sungwon Park
M. Cha
Cheng-Te Li
SSL
35
3
0
26 Feb 2020
Neural Bayes: A Generic Parameterization Method for Unsupervised
  Representation Learning
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit
Huan Wang
Caiming Xiong
R. Socher
Yoshua Bengio
SSL
44
2
0
20 Feb 2020
Unsupervised pretraining transfers well across languages
Unsupervised pretraining transfers well across languages
M. Rivière
Armand Joulin
Pierre-Emmanuel Mazaré
Emmanuel Dupoux
SSLVLM
71
209
0
07 Feb 2020
Pruning Convolutional Neural Networks with Self-Supervision
Pruning Convolutional Neural Networks with Self-Supervision
Mathilde Caron
Ari S. Morcos
Piotr Bojanowski
Julien Mairal
Armand Joulin
SSL3DPC
59
12
0
10 Jan 2020
Discriminative Clustering with Representation Learning with any Ratio of
  Labeled to Unlabeled Data
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data
Corinne Jones
Vincent Roulet
Zaïd Harchaoui
109
1
0
30 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Allan Jabri
Kyle Hsu
Benjamin Eysenbach
Abhishek Gupta
Sergey Levine
Chelsea Finn
VLMOODSSLOffRL
68
65
0
09 Dec 2019
ClusterFit: Improving Generalization of Visual Representations
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSLVLM
134
133
0
06 Dec 2019
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
Guy Shiran
D. Weinshall
48
17
0
05 Dec 2019
Rethinking deep active learning: Using unlabeled data at model training
Rethinking deep active learning: Using unlabeled data at model training
Oriane Siméoni
Mateusz Budnik
Yannis Avrithis
G. Gravier
HAI
101
79
0
19 Nov 2019
Unsupervised Representation Learning by Discovering Reliable Image
  Relations
Unsupervised Representation Learning by Discovering Reliable Image Relations
Timo Milbich
Omair Ghori
Ferran Diego
Bjorn Ommer
OODSSL
51
9
0
18 Nov 2019
AETv2: AutoEncoding Transformations for Self-Supervised Representation
  Learning by Minimizing Geodesic Distances in Lie Groups
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups
Feng Lin
Haohang Xu
Houqiang Li
H. Xiong
Guo-Jun Qi
67
4
0
16 Nov 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
131
778
0
13 Nov 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
98
171
0
08 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
95
96
0
29 Sep 2019
I-SAFE: Instant Suspicious Activity identiFication at the Edge using
  Fuzzy Decision Making
I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making
S. Nikouei
Yu Chen
Alexander J. Aved
Erik P. Blasch
Timothy R. Faughnan
31
20
0
12 Sep 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership
  Inference
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Alexandre Sablayrolles
Matthijs Douze
Yann Ollivier
Cordelia Schmid
Hervé Jégou
MIACV
88
369
0
29 Aug 2019
Learning Generalized Transformation Equivariant Representations via
  Autoencoding Transformations
Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations
Guo-Jun Qi
Liheng Zhang
Tianlin Li
OOD
79
39
0
19 Jun 2019
Boosting Supervision with Self-Supervision for Few-shot Learning
Boosting Supervision with Self-Supervision for Few-shot Learning
Jong-Chyi Su
Subhransu Maji
B. Hariharan
SSLAI4MH
63
19
0
17 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
196
2,413
0
13 Jun 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
102
397
0
03 May 2019
A critical analysis of self-supervision, or what we can learn from a
  single image
A critical analysis of self-supervision, or what we can learn from a single image
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
85
146
0
30 Apr 2019
Unsupervised Deep Learning by Neighbourhood Discovery
Unsupervised Deep Learning by Neighbourhood Discovery
Jiabo Huang
Qi Dong
S. Gong
Xiatian Zhu
SSL
107
155
0
25 Apr 2019
Deep Comprehensive Correlation Mining for Image Clustering
Deep Comprehensive Correlation Mining for Image Clustering
Jianlong Wu
Keyu Long
Fei Wang
Chao Qian
Cheng Li
Zhouchen Lin
H. Zha
67
161
0
15 Apr 2019
Unsupervised Image Matching and Object Discovery as Optimization
Unsupervised Image Matching and Object Discovery as Optimization
Huy V. Vo
Francis R. Bach
Minsu Cho
Kai Han
Yann LeCun
P. Pérez
Jean Ponce
OCL
113
66
0
05 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on
  Unsupervised and Semi-Supervised Methods
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi
Jiebo Luo
SSL
61
246
0
27 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations
  by Autoencoding Variational Transformations
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi
Liheng Zhang
Chang Wen Chen
Qi Tian
DRL
65
42
0
23 Mar 2019
Cross-task weakly supervised learning from instructional videos
Cross-task weakly supervised learning from instructional videos
Dimitri Zhukov
Jean-Baptiste Alayrac
R. G. Cinbis
David Fouhey
Ivan Laptev
Josef Sivic
SSL
154
250
0
19 Mar 2019
Unsupervised Tracklet Person Re-Identification
Unsupervised Tracklet Person Re-Identification
Minxian Li
Xiatian Zhu
S. Gong
85
172
0
01 Mar 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via
  Random Labels and Data Augmentation
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
Antreas Antoniou
Amos Storkey
SSL
106
75
0
26 Feb 2019
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