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What makes ImageNet good for transfer learning?
v1v2 (latest)

What makes ImageNet good for transfer learning?

30 August 2016
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
    OODSSegVLMSSL
ArXiv (abs)PDFHTML

Papers citing "What makes ImageNet good for transfer learning?"

50 / 320 papers shown
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer
  Learning for Automated Cancer Registry System
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
Chengjie Lu
Qinghua Xu
T. Yue
Sajid Ali
T. Schwitalla
J. Nygaard
163
12
0
06 Sep 2023
Multi-Task Hypergraphs for Semi-supervised Learning using Earth
  Observations
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations
Mihai Cristian Pîrvu
Alina Marcu
A. Dobrescu
N. Belbachir
Marius Leordeanu
185
10
0
21 Aug 2023
On the Connection between Pre-training Data Diversity and Fine-tuning
  Robustness
On the Connection between Pre-training Data Diversity and Fine-tuning RobustnessNeural Information Processing Systems (NeurIPS), 2023
Vivek Ramanujan
Thao Nguyen
Sewoong Oh
Ludwig Schmidt
Ali Farhadi
OOD
209
33
0
24 Jul 2023
What Happens During Finetuning of Vision Transformers: An Invariance
  Based Investigation
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation
Gabriele Merlin
Vedant Nanda
Ruchit Rawal
Mariya Toneva
179
4
0
12 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
235
191
0
10 Jul 2023
What Makes ImageNet Look Unlike LAION
What Makes ImageNet Look Unlike LAION
Ali Shirali
Moritz Hardt
107
12
0
27 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
414
3
0
26 Jun 2023
Multi-task 3D building understanding with multi-modal pretraining
Multi-task 3D building understanding with multi-modal pretraining
Shicheng Xu
3DPC
160
2
0
16 Jun 2023
A Client-server Deep Federated Learning for Cross-domain Surgical Image
  Segmentation
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Ronast Subedi
Rebati Gaire
Sharib Ali
Anh Totti Nguyen
Danail Stoyanov
Binod Bhattarai
OOD
130
4
0
14 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
  Learning with Proper Calibration
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper CalibrationEuropean Conference on Computer Vision (ECCV), 2023
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
Michael Felsberg
344
3
0
07 Jun 2023
Improving neural network representations using human similarity
  judgments
Improving neural network representations using human similarity judgmentsNeural Information Processing Systems (NeurIPS), 2023
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
312
43
0
07 Jun 2023
A Transfer Learning and Explainable Solution to Detect mpox from
  Smartphones images
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones imagesPervasive and Mobile Computing (PMC), 2023
M. Campana
Marco Colussi
Franca Delmastro
S. Mascetti
Elena Pagani
185
16
0
29 May 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and
  normalization matters
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Isaac Corley
Caleb Robinson
Rahul Dodhia
J. L. Ferres
Peyman Najafirad
308
31
0
22 May 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
Wujian Peng
Zejia Weng
Hengduo Li
Zuxuan Wu
143
0
0
22 May 2023
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual
  Representations
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations
Toni Albert
Bjoern M. Eskofier
Dario Zanca
SSL
140
1
0
21 May 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised
  Pre-training
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-trainingNeural Information Processing Systems (NeurIPS), 2023
Jieyu Zhang
Bohan Wang
Zhengyu Hu
Pang Wei Koh
Alexander Ratner
207
11
0
20 May 2023
Neuralizer: General Neuroimage Analysis without Re-Training
Neuralizer: General Neuroimage Analysis without Re-TrainingComputer Vision and Pattern Recognition (CVPR), 2023
Steffen Czolbe
H. Dickinson
OOD
305
25
0
04 May 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated
  Learning
EcoFed: Efficient Communication for DNN Partitioning-based Federated LearningIEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Di Wu
R. Ullah
Philip Rodgers
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
309
8
0
11 Apr 2023
TRAK: Attributing Model Behavior at Scale
TRAK: Attributing Model Behavior at ScaleInternational Conference on Machine Learning (ICML), 2023
Sung Min Park
Kristian Georgiev
Andrew Ilyas
Guillaume Leclerc
Aleksander Madry
TDI
404
233
0
24 Mar 2023
A Closer Look at Model Adaptation using Feature Distortion and
  Simplicity Bias
A Closer Look at Model Adaptation using Feature Distortion and Simplicity BiasInternational Conference on Learning Representations (ICLR), 2023
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
AAML
190
21
0
23 Mar 2023
Rice paddy disease classifications using CNNs
Rice paddy disease classifications using CNNs
Charles OÑeill
72
3
0
15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023
Xiaohua Xie
Yin Li
Yong Jae Lee
185
17
0
13 Mar 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
272
2
0
10 Feb 2023
Differentially Private Kernel Inducing Points using features from
  ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation
Margarita Vinaroz
M. Park
DD
181
2
0
31 Jan 2023
Does Federated Learning Really Need Backpropagation?
Does Federated Learning Really Need Backpropagation?European Conference on Computer Vision (ECCV), 2023
Hao Feng
Tianyu Pang
Chao Du
Wei Chen
Shuicheng Yan
Min Lin
FedML
276
12
0
28 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?Neural Information Processing Systems (NeurIPS), 2023
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
209
47
0
11 Jan 2023
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 clonesComputer Vision and Pattern Recognition (CVPR), 2022
Mert Bulent Sariyildiz
Alahari Karteek
Diane Larlus
Yannis Kalantidis
DiffMVLM
333
202
0
16 Dec 2022
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings
Tarikul Islam Papon
Abdul Wasay
56
1
0
15 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Data-driven Science and Machine Learning Methods in Laser-Plasma PhysicsHigh Power Laser Science and Engineering (HPLSE), 2022
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
323
88
0
30 Nov 2022
Exploiting Category Names for Few-Shot Classification with
  Vision-Language Models
Exploiting Category Names for Few-Shot Classification with Vision-Language Models
Taihong Xiao
Zirui Wang
Liangliang Cao
Jiahui Yu
Shengyang Dai
Ming-Hsuan Yang
VLMMLLM
251
5
0
29 Nov 2022
Privacy in Practice: Private COVID-19 Detection in X-Ray Images
  (Extended Version)
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)International Conference on Security and Cryptography (SECRYPT), 2022
Lucas Lange
Maja Schneider
Peter Christen
Erhard Rahm
250
9
0
21 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Yongfeng Zhang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
215
14
0
20 Nov 2022
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Yi Wang
Nassim Ait Ali Braham
Zhitong Xiong
Chenying Liu
C. Albrecht
Xiao Xiang Zhu
233
96
0
13 Nov 2022
On the Informativeness of Supervision Signals
On the Informativeness of Supervision SignalsConference on Uncertainty in Artificial Intelligence (UAI), 2022
Ilia Sucholutsky
Ruairidh M. Battleday
Katherine M. Collins
Raja Marjieh
Joshua C. Peterson
Pulkit Singh
Umang Bhatt
Nori Jacoby
Adrian Weller
Thomas Griffiths
230
18
0
02 Nov 2022
Transfer Learning with Kernel Methods
Transfer Learning with Kernel MethodsNature Communications (Nat Commun), 2022
Adityanarayanan Radhakrishnan
Max Ruiz Luyten
Neha Prasad
Caroline Uhler
158
31
0
01 Nov 2022
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
361
3
0
09 Oct 2022
Content-Based Search for Deep Generative Models
Content-Based Search for Deep Generative ModelsACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2022
Daohan Lu
Sheng-Yu Wang
Nupur Kumari
Rohan Agarwal
Mia Tang
David Bau
Jun-Yan Zhu
DiffMSyDa
339
9
0
06 Oct 2022
Top-Tuning: a study on transfer learning for an efficient alternative to
  fine tuning for image classification with fast kernel methods
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methodsImage and Vision Computing (IVC), 2022
P. D. Alfano
Vito Paolo Pastore
Lorenzo Rosasco
Francesca Odone
214
10
0
16 Sep 2022
Visual Recognition with Deep Nearest Centroids
Visual Recognition with Deep Nearest CentroidsInternational Conference on Learning Representations (ICLR), 2022
Wenguan Wang
Cheng Han
Tianfei Zhou
Dongfang Liu
522
177
0
15 Sep 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the
  Perspective of Automated Bioprocess Development
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess DevelopmentBiochemical engineering journal (Biochem. Eng. J.), 2022
Nghia Duong-Trung
Stefan Born
Jong Woo Kim
M. Schermeyer
Katharina Paulick
...
Thorben Werner
Randolf Scholz
Lars Schmidt-Thieme
Peter Neubauer
Ernesto Martinez
255
29
0
02 Sep 2022
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
Hierarchical Semantic Regularization of Latent Spaces in StyleGANsEuropean Conference on Computer Vision (ECCV), 2022
Tejan Karmali
Rishubh Parihar
Susmit Agrawal
Harsh Rangwani
Varun Jampani
M. Singh
R. Venkatesh Babu
164
11
0
07 Aug 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
149
6
0
01 Aug 2022
Revisiting the Critical Factors of Augmentation-Invariant Representation
  Learning
Revisiting the Critical Factors of Augmentation-Invariant Representation LearningEuropean Conference on Computer Vision (ECCV), 2022
Junqiang Huang
Xiangwen Kong
Xiangyu Zhang
113
7
0
30 Jul 2022
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image
  Classification
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification
Xuyang Shen
J. Plested
Sabrina Caldwell
Yiran Zhong
Tom Gedeon
150
3
0
26 Jul 2022
Pretraining a Neural Network before Knowing Its Architecture
Pretraining a Neural Network before Knowing Its Architecture
Boris Knyazev
AI4CE
179
1
0
20 Jul 2022
Is a Caption Worth a Thousand Images? A Controlled Study for
  Representation Learning
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning
Shibani Santurkar
Yann Dubois
Rohan Taori
Abigail Z. Jacobs
Tatsunori Hashimoto
CLIPVLM
210
43
0
15 Jul 2022
A Data-Based Perspective on Transfer Learning
A Data-Based Perspective on Transfer LearningComputer Vision and Pattern Recognition (CVPR), 2022
Saachi Jain
Hadi Salman
Alaa Khaddaj
Eric Wong
Sung Min Park
Aleksander Madry
201
47
0
12 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic
  Reinforcement Learning
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement LearningConference on Robot Learning (CoRL), 2022
Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRLOnRL
248
37
0
11 Jul 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
Niv Cohen
Jonathan Kahana
Yedid Hoshen
192
4
0
07 Jul 2022
AANG: Automating Auxiliary Learning
AANG: Automating Auxiliary LearningInternational Conference on Learning Representations (ICLR), 2022
Lucio Dery
Paul Michel
M. Khodak
Graham Neubig
Ameet Talwalkar
269
12
0
27 May 2022
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