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What makes ImageNet good for transfer learning?

What makes ImageNet good for transfer learning?

30 August 2016
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
    OOD
    SSeg
    VLM
    SSL
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Papers citing "What makes ImageNet good for transfer learning?"

50 / 315 papers shown
Title
Now You See It, Now You Dont: Adversarial Vulnerabilities in
  Computational Pathology
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology
Alex Foote
Amina Asif
A. Azam
Tim Marshall-Cox
Nasir M. Rajpoot
F. Minhas
AAML
MedIm
17
12
0
14 Jun 2021
A machine learning pipeline for aiding school identification from child
  trafficking images
A machine learning pipeline for aiding school identification from child trafficking images
Soumendu Sundar Mukherjee
Tina Sederholm
Anthony C. Roman
Ria Sankar
Sherrie Caltagirone
J. L. Ferres
16
2
0
09 Jun 2021
Mean-Shifted Contrastive Loss for Anomaly Detection
Mean-Shifted Contrastive Loss for Anomaly Detection
Tal Reiss
Yedid Hoshen
16
115
0
07 Jun 2021
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered
  Scenes
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
D. Bashkirova
M. Abdelfattah
Ziliang Zhu
James Akl
Fadi M. Alladkani
Ping Hu
Vitaly Ablavsky
B. Çalli
Sarah Adel Bargal
Kate Saenko
20
49
0
04 Jun 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
184
689
0
22 Apr 2021
Lifting Monocular Events to 3D Human Poses
Lifting Monocular Events to 3D Human Poses
Gianluca Scarpellini
Pietro Morerio
Alessio Del Bue
3DH
38
22
0
21 Apr 2021
A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable
  Settings
A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings
Eltayeb Ahmed
L. Zintgraf
Christian Schroeder de Witt
Nicolas Usunier
SSL
24
0
0
17 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot
  Classification Benchmark
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin
N. Houlsby
Utku Evci
Xiaohua Zhai
Ross Goroshin
Sylvain Gelly
Hugo Larochelle
27
26
0
06 Apr 2021
A Broad Study on the Transferability of Visual Representations with
  Contrastive Learning
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Ashraful Islam
Chun-Fu Chen
Yikang Shen
Leonid Karlinsky
Richard J. Radke
Rogerio Feris
SSL
29
112
0
24 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
43
80
0
24 Mar 2021
Intraclass clustering: an implicit learning ability that regularizes
  DNNs
Intraclass clustering: an implicit learning ability that regularizes DNNs
Simon Carbonnelle
Christophe De Vleeschouwer
60
8
0
11 Mar 2021
Land Cover Mapping in Limited Labels Scenario: A Survey
Land Cover Mapping in Limited Labels Scenario: A Survey
Rahul Ghosh
X. Jia
Vipin Kumar
36
6
0
03 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
40
77
0
03 Mar 2021
Local Calibration: Metrics and Recalibration
Local Calibration: Metrics and Recalibration
Rachel Luo
Aadyot Bhatnagar
Yu Bai
Shengjia Zhao
Huan Wang
Caiming Xiong
Silvio Savarese
Stefano Ermon
Edward Schmerling
Marco Pavone
24
14
0
22 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
40
256
0
18 Feb 2021
Effects of Layer Freezing on Transferring a Speech Recognition System to
  Under-resourced Languages
Effects of Layer Freezing on Transferring a Speech Recognition System to Under-resourced Languages
Onno Eberhard
Torsten Zesch
11
3
0
08 Feb 2021
Improving filling level classification with adversarial training
Improving filling level classification with adversarial training
Apostolos Modas
Alessio Xompero
Ricardo Sánchez-Matilla
P. Frossard
Andrea Cavallaro
GAN
22
12
0
08 Feb 2021
Damage detection using in-domain and cross-domain transfer learning
Damage detection using in-domain and cross-domain transfer learning
Z. Bukhsh
N. Jansen
Aaqib Saeed
34
42
0
07 Feb 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
202
0
28 Jan 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
79
117
0
21 Jan 2021
Supervised Transfer Learning at Scale for Medical Imaging
Supervised Transfer Learning at Scale for Medical Imaging
Basil Mustafa
Aaron Loh
Jan Freyberg
Patricia MacWilliams
Megan Wilson
...
Shruthi Prabhakara
Umesh Telang
Alan Karthikesalingam
N. Houlsby
Vivek Natarajan
LM&MA
32
67
0
14 Jan 2021
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application
  to Skin Lesion Segmentation
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation
Z. Mirikharaji
Kumar Abhishek
S. Izadi
Ghassan Hamarneh
31
27
0
14 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
27
122
0
12 Dec 2020
Driver Glance Classification In-the-wild: Towards Generalization Across
  Domains and Subjects
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects
Sandipan Banerjee
Ajjen Joshi
Jay Turcot
B. Reimer
Taniya Mishra
24
2
0
05 Dec 2020
Cross-Modal Generalization: Learning in Low Resource Modalities via
  Meta-Alignment
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment
Paul Pu Liang
Peter Wu
Liu Ziyin
Louis-Philippe Morency
Ruslan Salakhutdinov
33
30
0
04 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot
  Learning
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning
J. Cai
B. Cai
S. Shen
27
7
0
03 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
34
68
0
25 Nov 2020
Efficient Conditional Pre-training for Transfer Learning
Efficient Conditional Pre-training for Transfer Learning
Shuvam Chakraborty
Burak Uzkent
Kumar Ayush
Kumar Tanmay
Evan Sheehan
Stefano Ermon
VLM
26
17
0
20 Nov 2020
Recognizing More Emotions with Less Data Using Self-supervised Transfer
  Learning
Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning
Jonathan Boigne
Biman Liyanage
Ted Östrem
16
20
0
11 Nov 2020
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
H. Alshazly
C. Linse
Erhardt Barth
T. Martinetz
21
159
0
09 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain
Meta-learning Transferable Representations with a Single Target Domain
Hong Liu
Jeff Z. HaoChen
Colin Wei
Tengyu Ma
AAML
43
5
0
03 Nov 2020
Zero-Shot Learning from scratch (ZFS): leveraging local compositional
  representations
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
VLM
20
7
0
22 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
29
48
0
19 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cédric Renggli
André Susano Pinto
Luka Rimanic
J. Puigcerver
C. Riquelme
Ce Zhang
Mario Lucic
29
23
0
13 Oct 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and
  Segmentation
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
16
247
0
12 Oct 2020
Interventional Few-Shot Learning
Interventional Few-Shot Learning
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
26
225
0
28 Sep 2020
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of
  COVID-19 Using X-Ray Images
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images
A. Al-Bawi
K. Al-Kaabi
Mohammed Jeryo
A. Al-Fatlawi
6
16
0
21 Sep 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19
  in chest X-ray images
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
21
114
0
21 Sep 2020
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons
  from Infant Learning
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning
L. Zaadnoordijk
Tarek R. Besold
R. Cusack
SSL
DRL
9
3
0
17 Sep 2020
Measuring Information Transfer in Neural Networks
Measuring Information Transfer in Neural Networks
Xiao Zhang
Xingjian Li
Dejing Dou
Ji Wu
17
3
0
16 Sep 2020
BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks
BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks
Tongwen Huang
Qingyun She
Junlin Zhang
35
15
0
13 Sep 2020
Self-supervised Video Representation Learning by Uncovering
  Spatio-temporal Statistics
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
Jiangliu Wang
Jianbo Jiao
Linchao Bao
Shengfeng He
Wei Liu
Yunhui Liu
SSL
AI4TS
21
55
0
31 Aug 2020
Domain Adaptation Through Task Distillation
Domain Adaptation Through Task Distillation
Brady Zhou
Nimit Kalra
Philipp Krahenbuhl
OOD
26
16
0
27 Aug 2020
What is being transferred in transfer learning?
What is being transferred in transfer learning?
Behnam Neyshabur
Hanie Sedghi
Chiyuan Zhang
29
506
0
26 Aug 2020
Learning Models of Individual Behavior in Chess
Learning Models of Individual Behavior in Chess
Reid McIlroy-Young
Russell Wang
S. Sen
Jon M. Kleinberg
Ashton Anderson
31
12
0
23 Aug 2020
BREEDS: Benchmarks for Subpopulation Shift
BREEDS: Benchmarks for Subpopulation Shift
Shibani Santurkar
Dimitris Tsipras
A. Madry
OOD
21
168
0
11 Aug 2020
Fully-Automated Packaging Structure Recognition in Logistics
  Environments
Fully-Automated Packaging Structure Recognition in Logistics Environments
Laura Dörr
Felix Brandt
Martin Pouls
Alexander Naumann
4
14
0
11 Aug 2020
Duality Diagram Similarity: a generic framework for initialization
  selection in task transfer learning
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
Kshitij Dwivedi
Jiahui Huang
Radoslaw Martin Cichy
Gemma Roig
19
30
0
05 Aug 2020
A Foliated View of Transfer Learning
A Foliated View of Transfer Learning
Janith C. Petangoda
Nick A. M. Monk
M. Deisenroth
25
3
0
02 Aug 2020
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Christos Matsoukas
Albert Bou I Hernandez
Yue Liu
Karin Dembrower
G. Miranda
...
Johan Fredin Haslum
Athanasios Zouzos
Peter Lindholm
Fredrik Strand
Kevin Smith
15
12
0
20 Jul 2020
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