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

Title
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 112 12 0 06 Sep 2023
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations Mihai Cristian Pîrvu Alina Marcu A. Dobrescu N. Belbachir Marius Leordeanu 140 10 0 21 Aug 2023
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 142 31 0 24 Jul 2023
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation Gabriele Merlin Vedant Nanda Ruchit Rawal Mariya Toneva 140 4 0 12 Jul 2023
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 192 164 0 10 Jul 2023
What Makes ImageNet Look Unlike LAION Ali Shirali Moritz Hardt 74 12 0 27 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 280 3 0 26 Jun 2023
Multi-task 3D building understanding with multi-modal pretraining Shicheng Xu 3DPC 100 2 0 16 Jun 2023
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 113 4 0 14 Jun 2023
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 223 3 0 07 Jun 2023
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 267 41 0 07 Jun 2023
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 120 16 0 29 May 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters Isaac Corley Caleb Robinson Rahul Dodhia J. L. Ferres Peyman Najafirad 262 28 0 22 May 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning Wujian Peng Zejia Weng Hengduo Li Zuxuan Wu 115 0 0 22 May 2023
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations Toni Albert Bjoern M. Eskofier Dario Zanca SSL 103 1 0 21 May 2023
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 152 10 0 20 May 2023
Neuralizer: General Neuroimage Analysis without Re-TrainingComputer Vision and Pattern Recognition (CVPR), 2023 Steffen Czolbe H. Dickinson OOD 235 25 0 04 May 2023
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 243 7 0 11 Apr 2023
TRAK: Attributing Model Behavior at ScaleInternational Conference on Machine Learning (ICML), 2023 Sung Min Park Kristian Georgiev Andrew Ilyas Guillaume Leclerc Aleksander Madry TDI 320 223 0 24 Mar 2023
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 143 21 0 23 Mar 2023
Rice paddy disease classifications using CNNs Charles OÑeill 68 3 0 15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023 Xiaohua Xie Yin Li Yong Jae Lee 125 16 0 13 Mar 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 220 2 0 10 Feb 2023
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation Margarita Vinaroz M. Park DD 138 2 0 31 Jan 2023
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 221 12 0 28 Jan 2023
Does progress on ImageNet transfer to real-world datasets?Neural Information Processing Systems (NeurIPS), 2023 Alex Fang Simon Kornblith Ludwig Schmidt VLM 157 45 0 11 Jan 2023
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 DiffM VLM 244 200 0 16 Dec 2022
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings Tarikul Islam Papon Abdul Wasay 52 0 0 15 Dec 2022
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 261 86 0 30 Nov 2022
Exploiting Category Names for Few-Shot Classification with Vision-Language Models Taihong Xiao Zirui Wang Liangliang Cao Jiahui Yu Shengyang Dai Ming-Hsuan Yang VLM MLLM 203 5 0 29 Nov 2022
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 208 8 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 154 14 0 20 Nov 2022
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 189 89 0 13 Nov 2022
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 176 14 0 02 Nov 2022
Transfer Learning with Kernel MethodsNature Communications (Nat Commun), 2022 Adityanarayanan Radhakrishnan Max Ruiz Luyten Neha Prasad Caroline Uhler 134 28 0 01 Nov 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 223 3 0 09 Oct 2022
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 DiffM SyDa 290 8 0 06 Oct 2022
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 146 8 0 16 Sep 2022
Visual Recognition with Deep Nearest CentroidsInternational Conference on Learning Representations (ICLR), 2022 Wenguan Wang Cheng Han Tianfei Zhou Dongfang Liu 458 170 0 15 Sep 2022
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 183 26 0 02 Sep 2022
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 109 11 0 07 Aug 2022
Information Gain Sampling for Active Learning in Medical Image Classification Raghav Mehta Changjian Shui Brennan Nichyporuk Tal Arbel 103 6 0 01 Aug 2022
Revisiting the Critical Factors of Augmentation-Invariant Representation LearningEuropean Conference on Computer Vision (ECCV), 2022 Junqiang Huang Xiangwen Kong Xiangyu Zhang 84 7 0 30 Jul 2022
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification Xuyang Shen J. Plested Sabrina Caldwell Yiran Zhong Tom Gedeon 118 3 0 26 Jul 2022
Pretraining a Neural Network before Knowing Its Architecture Boris Knyazev AI4CE 148 1 0 20 Jul 2022
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning Shibani Santurkar Yann Dubois Rohan Taori Abigail Z. Jacobs Tatsunori Hashimoto CLIP VLM 180 43 0 15 Jul 2022
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 160 45 0 12 Jul 2022
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 OffRL OnRL 172 37 0 11 Jul 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors Niv Cohen Jonathan Kahana Yedid Hoshen 136 4 0 07 Jul 2022
AANG: Automating Auxiliary LearningInternational Conference on Learning Representations (ICLR), 2022 Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 238 11 0 27 May 2022

EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer
Learning for Automated Cancer Registry System

112

12

0

06 Sep 2023

Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations

140

10

0

21 Aug 2023

On the Connection between Pre-training Data Diversity and Fine-tuning RobustnessNeural Information Processing Systems (NeurIPS), 2023

Thao Nguyen

142

31

0

24 Jul 2023

What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation

140

4

0

12 Jul 2023

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

192

164

0

10 Jul 2023

What Makes ImageNet Look Unlike LAION

Ali Shirali

Moritz Hardt

74

12

0

27 Jun 2023

MedLSAM: Localize and Segment Anything Model for 3D CT Images

280

3

0

26 Jun 2023

Multi-task 3D building understanding with multi-modal pretraining

Shicheng Xu

3DPC

100

2

0

16 Jun 2023

A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation

Danail Stoyanov

113

4

0

14 Jun 2023

Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper CalibrationEuropean Conference on Computer Vision (ECCV), 2023

Emanuel Sanchez Aimar

223

3

0

07 Jun 2023

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

267

41

0

07 Jun 2023

A Transfer Learning and Explainable Solution to Detect mpox from Smartphones imagesPervasive and Mobile Computing (PMC), 2023

120

16

0

29 May 2023

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

Peyman Najafirad

262

28

0

22 May 2023

BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning

Wujian Peng

Zejia Weng

Hengduo Li

Zuxuan Wu

115

0

22 May 2023

From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations

103

1

0

21 May 2023

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

152

10

0

20 May 2023

Neuralizer: General Neuroimage Analysis without Re-TrainingComputer Vision and Pattern Recognition (CVPR), 2023

Steffen Czolbe

H. Dickinson

OOD

235

25

0

04 May 2023

EcoFed: Efficient Communication for DNN Partitioning-based Federated LearningIEEE Transactions on Parallel and Distributed Systems (TPDS), 2023

243

7

0

11 Apr 2023

TRAK: Attributing Model Behavior at ScaleInternational Conference on Machine Learning (ICML), 2023

Kristian Georgiev

320

223

0

24 Mar 2023

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

143

21

0

23 Mar 2023

Rice paddy disease classifications using CNNs

Charles OÑeill

68

3

0

15 Mar 2023

InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023

Xiaohua Xie

Yin Li

Yong Jae Lee

125

16

0

13 Mar 2023

Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation

Lorenzo Natale

220

2

0

10 Feb 2023

Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation

Margarita Vinaroz

M. Park

DD

138

2

0

31 Jan 2023

Does Federated Learning Really Need Backpropagation?European Conference on Computer Vision (ECCV), 2023

221

12

0

28 Jan 2023

Does progress on ImageNet transfer to real-world datasets?Neural Information Processing Systems (NeurIPS), 2023

157

45

0

11 Jan 2023

Fake it till you make it: Learning transferable representations from synthetic ImageNet clonesComputer Vision and Pattern Recognition (CVPR), 2022

Mert Bulent Sariyildiz

244

200

0

16 Dec 2022

Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings

Tarikul Islam Papon

Abdul Wasay

52

0

15 Dec 2022

Data-driven Science and Machine Learning Methods in Laser-Plasma PhysicsHigh Power Laser Science and Engineering (HPLSE), 2022

261

86

0

30 Nov 2022

Exploiting Category Names for Few-Shot Classification with Vision-Language Models

203

5

0

29 Nov 2022

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

208

8

0

21 Nov 2022

An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning

Bernt Schiele

Bhiksha Raj

154

14

0

20 Nov 2022

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

189

89

0

13 Nov 2022

On the Informativeness of Supervision SignalsConference on Uncertainty in Artificial Intelligence (UAI), 2022

Ilia Sucholutsky

Ruairidh M. Battleday

176

14

0

02 Nov 2022

Transfer Learning with Kernel MethodsNature Communications (Nat Commun), 2022

Adityanarayanan Radhakrishnan

Max Ruiz Luyten

Neha Prasad

Caroline Uhler

134

28

0

01 Nov 2022

Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images

Xin Yang

223

3

0

09 Oct 2022

Content-Based Search for Deep Generative ModelsACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2022

Jun-Yan Zhu

290

8

0

06 Oct 2022