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Do Better ImageNet Models Transfer Better?

Do Better ImageNet Models Transfer Better?

23 May 2018
Simon Kornblith
Jonathon Shlens
Quoc V. Le
    OOD
    MLT
ArXivPDFHTML

Papers citing "Do Better ImageNet Models Transfer Better?"

50 / 639 papers shown
Title
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating
  Orthogonal Features
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
VLM
19
9
0
10 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised
  Domain Adaptation
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
21
2
0
10 Feb 2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of
  Neural Networks
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
Mahdi Nikdan
Tommaso Pegolotti
Eugenia Iofinova
Eldar Kurtic
Dan Alistarh
10
11
0
09 Feb 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks:
  Breaking Transfer Learning Conventions
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
G. Pihlgren
Konstantina Nikolaidou
Prakash Chandra Chhipa
Nosheen Abid
Rajkumar Saini
Fredrik Sandin
Marcus Liwicki
11
10
0
08 Feb 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper
  Proxy
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
Blake E. Woodworth
Konstantin Mishchenko
Francis R. Bach
26
6
0
07 Feb 2023
Interpretations of Domain Adaptations via Layer Variational Analysis
Interpretations of Domain Adaptations via Layer Variational Analysis
H. Tseng
Hsin-Yi Lin
Kuo-Hsuan Hung
Yu Tsao
FAtt
13
3
0
03 Feb 2023
Contrastive Learning with Consistent Representations
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
24
5
0
03 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Haichao Zhang
Weiwen Xu
Haonan Yu
CLL
OffRL
OnRL
30
62
0
02 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu
Xingzhuo Guo
Jialong Wu
Ximei Wang
Jianmin Wang
Mingsheng Long
OODD
VLM
41
74
0
02 Feb 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 2023
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Haotian Liu
Kilho Son
Jianwei Yang
Ce Liu
Jianfeng Gao
Yong Jae Lee
Chunyuan Li
VLM
38
53
0
17 Jan 2023
Improving Reliability of Fine-tuning with Block-wise Optimisation
Improving Reliability of Fine-tuning with Block-wise Optimisation
Basel Barakat
Qiang Huang
19
1
0
15 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
21
34
0
11 Jan 2023
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
Md. Ismail Hossain
Mohammed Rakib
M. M. L. Elahi
Nabeel Mohammed
Shafin Rahman
21
1
0
24 Dec 2022
Image Classification with Small Datasets: Overview and Benchmark
Image Classification with Small Datasets: Overview and Benchmark
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
VLM
12
17
0
23 Dec 2022
Principled and Efficient Transfer Learning of Deep Models via Neural
  Collapse
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse
Xiao Li
Sheng Liu
Jin-li Zhou
Xin Lu
C. Fernandez‐Granda
Zhihui Zhu
Q. Qu
AAML
19
18
0
23 Dec 2022
Universal Object Detection with Large Vision Model
Universal Object Detection with Large Vision Model
Feng-Huei Lin
Wenze Hu
Yaowei Wang
Yonghong Tian
Guangming Lu
Fanglin Chen
Yong-mei Xu
Xiaoyu Wang
VLM
ObjD
32
8
0
19 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Zeyang Sha
Xinlei He
Pascal Berrang
Mathias Humbert
Yang Zhang
AAML
13
33
0
18 Dec 2022
Fake it till you make it: Learning transferable representations from
  synthetic ImageNet clones
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones
Mert Bulent Sariyildiz
Alahari Karteek
Diane Larlus
Yannis Kalantidis
DiffM
VLM
28
153
0
16 Dec 2022
Reproducible scaling laws for contrastive language-image learning
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti
Romain Beaumont
Ross Wightman
Mitchell Wortsman
Gabriel Ilharco
Cade Gordon
Christoph Schuhmann
Ludwig Schmidt
J. Jitsev
VLM
CLIP
49
737
0
14 Dec 2022
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Mingu Kang
Heon Song
Seonwook Park
Donggeun Yoo
Sérgio Pereira
11
128
0
09 Dec 2022
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
Xiaoshui Huang
Zhou Huang
Shengjia Li
Wentao Qu
Tong He
Yuenan Hou
Yifan Zuo
Wanli Ouyang
13
11
0
08 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and
  Privacy-preserving Supervised Learning
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning
Hongbin Liu
Wenjie Qu
Jinyuan Jia
Neil Zhenqiang Gong
SSL
20
6
0
06 Dec 2022
Visual Query Tuning: Towards Effective Usage of Intermediate
  Representations for Parameter and Memory Efficient Transfer Learning
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
Cheng-Hao Tu
Zheda Mai
Wei-Lun Chao
24
42
0
06 Dec 2022
MobileTL: On-device Transfer Learning with Inverted Residual Blocks
MobileTL: On-device Transfer Learning with Inverted Residual Blocks
HungYueh Chiang
N. Frumkin
Feng Liang
Diana Marculescu
MQ
19
12
0
05 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
VLM
27
136
0
01 Dec 2022
Rethinking Two Consensuses of the Transferability in Deep Learning
Rethinking Two Consensuses of the Transferability in Deep Learning
Yixiong Chen
Jingxia Li
C. Ding
Li Liu
19
2
0
01 Dec 2022
Transferability Estimation Based On Principal Gradient Expectation
Transferability Estimation Based On Principal Gradient Expectation
Huiyan Qi
Lechao Cheng
Jingjing Chen
Yue Yu
Xue Song
Zunlei Feng
Yueping Jiang
14
2
0
29 Nov 2022
ModelDiff: A Framework for Comparing Learning Algorithms
ModelDiff: A Framework for Comparing Learning Algorithms
Harshay Shah
Sung Min Park
Andrew Ilyas
A. Madry
SyDa
46
26
0
22 Nov 2022
Frozen Overparameterization: A Double Descent Perspective on Transfer
  Learning of Deep Neural Networks
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks
Yehuda Dar
Lorenzo Luzi
Richard G. Baraniuk
AI4CE
8
1
0
20 Nov 2022
How to Fine-Tune Vision Models with SGD
How to Fine-Tune Vision Models with SGD
Ananya Kumar
Ruoqi Shen
Sébastien Bubeck
Suriya Gunasekar
VLM
6
29
0
17 Nov 2022
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual
  representations
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations
Chanda Grover
Indra Deep Mastan
Debayan Gupta
VLM
CLIP
11
4
0
14 Nov 2022
Could Giant Pretrained Image Models Extract Universal Representations?
Could Giant Pretrained Image Models Extract Universal Representations?
Yutong Lin
Ze Liu
Zheng-Wei Zhang
Han Hu
Nanning Zheng
Stephen Lin
Yue Cao
VLM
46
9
0
03 Nov 2022
LegoNet: A Fast and Exact Unlearning Architecture
LegoNet: A Fast and Exact Unlearning Architecture
Sihao Yu
Fei Sun
J. Guo
Ruqing Zhang
Xueqi Cheng
MU
37
7
0
28 Oct 2022
An Effective Approach for Multi-label Classification with Missing Labels
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang
R. Abdelfattah
Yuqi Song
Xiaofeng Wang
17
4
0
24 Oct 2022
Deep Model Reassembly
Deep Model Reassembly
Xingyi Yang
Zhou Daquan
Songhua Liu
Jingwen Ye
Xinchao Wang
MoMe
20
120
0
24 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee
Annie S. Chen
Fahim Tajwar
Ananya Kumar
Huaxiu Yao
Percy Liang
Chelsea Finn
OOD
47
197
0
20 Oct 2022
lo-fi: distributed fine-tuning without communication
lo-fi: distributed fine-tuning without communication
Mitchell Wortsman
Suchin Gururangan
Shen Li
Ali Farhadi
Ludwig Schmidt
Michael G. Rabbat
Ari S. Morcos
19
24
0
19 Oct 2022
Perceptual Grouping in Contrastive Vision-Language Models
Perceptual Grouping in Contrastive Vision-Language Models
Kanchana Ranasinghe
Brandon McKinzie
S. S. Ravi
Yinfei Yang
Alexander Toshev
Jonathon Shlens
VLM
22
51
0
18 Oct 2022
Towards Efficient and Effective Self-Supervised Learning of Visual
  Representations
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
Sravanti Addepalli
Kaushal Bhogale
Priyam Dey
R. Venkatesh Babu
SSL
10
8
0
18 Oct 2022
Simple Emergent Action Representations from Multi-Task Policy Training
Simple Emergent Action Representations from Multi-Task Policy Training
Pu Hua
Yubei Chen
Huazhe Xu
MLAU
17
6
0
18 Oct 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLM
MLLM
CLIP
43
3,247
0
16 Oct 2022
A Closer Look at the Calibration of Differentially Private Learners
A Closer Look at the Calibration of Differentially Private Learners
Hanlin Zhang
Xuechen Li
Prithviraj Sen
Salim Roukos
Tatsunori Hashimoto
8
3
0
15 Oct 2022
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised
  Learning
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning
J. Dominic
Nandita Bhaskhar
Arjun D Desai
Andrew M Schmidt
E. Rubin
...
G. Gold
B. Hargreaves
L. Lenchik
R. Boutin
Akshay S. Chaudhari
8
0
0
14 Oct 2022
Predicting Fine-Tuning Performance with Probing
Predicting Fine-Tuning Performance with Probing
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
26
9
0
13 Oct 2022
Visual Classification via Description from Large Language Models
Visual Classification via Description from Large Language Models
Sachit Menon
Carl Vondrick
VLM
11
287
0
13 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a
  Distribution Perspective
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
AAML
14
57
0
09 Oct 2022
Content-Based Search for Deep Generative Models
Content-Based Search for Deep Generative Models
Daohan Lu
Sheng-Yu Wang
Nupur Kumari
Rohan Agarwal
Mia Tang
David Bau
Jun-Yan Zhu
DiffM
SyDa
30
5
0
06 Oct 2022
Differentially Private Bias-Term Fine-tuning of Foundation Models
Differentially Private Bias-Term Fine-tuning of Foundation Models
Zhiqi Bu
Yu-Xiang Wang
Sheng Zha
George Karypis
21
46
0
30 Sep 2022
Transfer Learning with Pretrained Remote Sensing Transformers
Transfer Learning with Pretrained Remote Sensing Transformers
A. Fuller
K. Millard
J.R. Green
25
11
0
28 Sep 2022
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