Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1805.08974
Cited By
Do Better ImageNet Models Transfer Better?
23 May 2018
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Do Better ImageNet Models Transfer Better?"
50 / 639 papers shown
Title
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks
Yuhuang Hu
Shih-Chii Liu
15
0
0
29 Mar 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
Donghyun Kim
Kaihong Wang
Stan Sclaroff
Kate Saenko
OOD
AI4CE
30
79
0
22 Mar 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
Johannes Schneider
Giovanni Apruzzese
AAML
11
8
0
18 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
Renhao Wang
Hang Zhao
Yang Gao
SSL
14
1
0
17 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLM
SSL
ViT
25
7
0
16 Mar 2022
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning
Sharath Girish
Debadeepta Dey
Neel Joshi
Vibhav Vineet
S. Shah
C. C. T. Mendes
Abhinav Shrivastava
Yale Song
SSL
30
2
0
15 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjD
VLM
19
19
0
15 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
42
906
1
10 Mar 2022
Do better ImageNet classifiers assess perceptual similarity better?
Manoj Kumar
N. Houlsby
Nal Kalchbrenner
E. D. Cubuk
23
31
0
09 Mar 2022
Towards Inadequately Pre-trained Models in Transfer Learning
Andong Deng
Xingjian Li
Di Hu
Tianyang Wang
Haoyi Xiong
Chengzhong Xu
11
6
0
09 Mar 2022
Data augmentation with mixtures of max-entropy transformations for filling-level classification
Apostolos Modas
Andrea Cavallaro
P. Frossard
12
0
0
08 Mar 2022
Evolutionary Neural Cascade Search across Supernetworks
A. Chebykin
T. Alderliesten
Peter A. N. Bosman
11
1
0
08 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
13
18
0
08 Mar 2022
Kubric: A scalable dataset generator
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
...
Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
36
250
0
07 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLM
OOD
MedIm
22
85
0
02 Mar 2022
Adversarial Contrastive Self-Supervised Learning
Wentao Zhu
Hang Shang
Tingxun Lv
Chao Liao
Sen Yang
Ji Liu
SSL
17
1
0
26 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
39
640
0
21 Feb 2022
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
Shanshan Wang
Lei Zhang
Pichao Wang
23
23
0
19 Feb 2022
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification
Youngkee Kim
Won Joon Yun
Youn Kyu Lee
Soyi Jung
Joongheon Kim
13
5
0
17 Feb 2022
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
21
84
0
15 Feb 2022
Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage Recognition
Johannes Flotzinger
Philipp J. Rösch
Norbert Oswald
T. Braml
16
6
0
14 Feb 2022
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
24
85
0
10 Feb 2022
Investigating Transfer Learning in Graph Neural Networks
Nishai Kooverjee
Steven D. James
Terence L van Zyl
GNN
31
14
0
01 Feb 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Mannat Singh
Laura Gustafson
Aaron B. Adcock
Vinicius de Freitas Reis
B. Gedik
Raj Prateek Kosaraju
D. Mahajan
Ross B. Girshick
Piotr Dollár
L. V. D. van der Maaten
VLM
32
122
0
20 Jan 2022
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
J. S. K. Yi
Min-seok Seo
Jongchan Park
Dong-Geol Choi
SSL
VLM
24
41
0
19 Jan 2022
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
17
100
0
15 Jan 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Utku Evci
Vincent Dumoulin
Hugo Larochelle
Michael C. Mozer
23
83
0
10 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers
Nikola Popovic
D. Paudel
Thomas Probst
Luc Van Gool
26
1
0
30 Dec 2021
On Efficient Transformer-Based Image Pre-training for Low-Level Vision
Wenbo Li
Xin Lu
Shengju Qian
Jiangbo Lu
X. Zhang
Jiaya Jia
ViT
24
83
0
19 Dec 2021
Ensembling Off-the-shelf Models for GAN Training
Nupur Kumari
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
19
86
0
16 Dec 2021
Representation Alignment in Neural Networks
Ehsan Imani
Wei Hu
Martha White
17
3
0
15 Dec 2021
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
A. Karthik
Mike Wu
Noah D. Goodman
Alex Tamkin
SSL
24
5
0
10 Dec 2021
How Well Do Sparse Imagenet Models Transfer?
Eugenia Iofinova
Alexandra Peste
Mark Kurtz
Dan Alistarh
11
38
0
26 Nov 2021
Transferability Metrics for Selecting Source Model Ensembles
A. Agostinelli
J. Uijlings
Thomas Mensink
V. Ferrari
13
23
0
25 Nov 2021
Transferability Estimation using Bhattacharyya Class Separability
Michal Pándy
A. Agostinelli
J. Uijlings
V. Ferrari
Thomas Mensink
11
57
0
24 Nov 2021
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning
Stanley Bryan Z. Hua
Alex X. Lu
Alan M. Moses
CLIP
VLM
14
15
0
23 Nov 2021
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
24
878
0
22 Nov 2021
Adaptive Transfer Learning: a simple but effective transfer learning
J. H. Lee
Henry Kvinge
Scott Howland
Zach New
John Buckheit
Lauren A. Phillips
Elliott Skomski
J. Hibler
Court D. Corley
Nathan Oken Hodas
20
0
0
22 Nov 2021
Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks
Chaitanya Patel
Shashank Sharma
Valerie J. Pasquarella
Varun Gulshan
SSL
11
14
0
19 Nov 2021
Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints
Jaesin Ahn
Jiuk Hong
Jeongwoo Ju
Heechul Jung
ViT
24
3
0
19 Nov 2021
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung
Varun Nair
Colin Raffel
FedML
18
196
0
18 Nov 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee
Kibok Lee
Kimin Lee
Honglak Lee
Jinwoo Shin
SSL
13
51
0
18 Nov 2021
LiT: Zero-Shot Transfer with Locked-image text Tuning
Xiaohua Zhai
Xiao Wang
Basil Mustafa
Andreas Steiner
Daniel Keysers
Alexander Kolesnikov
Lucas Beyer
VLM
28
539
0
15 Nov 2021
Scalable Diverse Model Selection for Accessible Transfer Learning
Daniel Bolya
Rohit Mittapalli
Judy Hoffman
OODD
27
41
0
12 Nov 2021
Do we still need ImageNet pre-training in remote sensing scene classification?
Vladimir Risojević
Vladan Stojnić
17
11
0
05 Nov 2021
Meta-Learning to Improve Pre-Training
Aniruddh Raghu
Jonathan Lorraine
Simon Kornblith
Matthew B. A. McDermott
D. Duvenaud
11
30
0
02 Nov 2021
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
36
233
0
01 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
27
67
0
28 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang
I. Laradji
David Vazquez
Simon Lacoste-Julien
Pau Rodríguez López
ObjD
25
77
0
27 Oct 2021
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
22
78
0
25 Oct 2021
Previous
1
2
3
...
6
7
8
...
11
12
13
Next