What makes ImageNet good for transfer learning?

30 August 2016

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

50 / 315 papers shown

Title
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
What Makes ImageNet Look Unlike LAION Ali Shirali Moritz Hardt 19 9 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 26 3 0 26 Jun 2023
Multi-task 3D building understanding with multi-modal pretraining Shicheng Xu 3DPC 27 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 19 2 0 14 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration Emanuel Sanchez Aimar Hannah Helgesen Yonghao Xu Marco Kuhlmann M. Felsberg 26 0 0 07 Jun 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 40 29 0 07 Jun 2023
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images M. Campana Marco Colussi Franca Delmastro S. Mascetti Elena Pagani 15 10 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 49 14 0 22 May 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning Wujian Peng Zejia Weng Hengduo Li Zuxuan Wu 30 0 0 22 May 2023
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations Toni Albert Bjoern M. Eskofier Dario Zanca SSL 14 0 0 21 May 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training Jieyu Zhang Bohan Wang Zhengyu Hu Pang Wei Koh Alexander Ratner 27 10 0 20 May 2023
Neuralizer: General Neuroimage Analysis without Re-Training Steffen Czolbe H. Dickinson OOD 38 12 0 04 May 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning Di Wu R. Ullah Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 32 1 0 11 Apr 2023
TRAK: Attributing Model Behavior at Scale Sung Min Park Kristian Georgiev Andrew Ilyas Guillaume Leclerc A. Madry TDI 30 129 0 24 Mar 2023
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 40 17 0 23 Mar 2023
Rice paddy disease classifications using CNNs Charles OÑeill 14 3 0 15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 27 10 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 26 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 28 0 0 31 Jan 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min-Bin Lin FedML 36 10 0 28 Jan 2023
Does progress on ImageNet transfer to real-world datasets? Alex Fang Simon Kornblith Ludwig Schmidt VLM 26 34 0 11 Jan 2023
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones Mert Bulent Sariyildiz Alahari Karteek Diane Larlus Yannis Kalantidis DiffM VLM 32 153 0 16 Dec 2022
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings Tarikul Islam Papon Abdul Wasay 13 0 0 15 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 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 Yang VLM MLLM 30 5 0 29 Nov 2022
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version) Lucas Lange Maja Schneider Peter Christen Erhard Rahm 18 7 0 21 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning Haoxing Chen Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Marios Savvides Bhiksha Raj 32 12 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 34 71 0 13 Nov 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas L. Griffiths 27 12 0 02 Nov 2022
Transfer Learning with Kernel Methods Adityanarayanan Radhakrishnan Max Ruiz Luyten Neha Prasad Caroline Uhler 14 18 0 01 Nov 2022
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 38 5 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 P. D. Alfano Vito Paolo Pastore Lorenzo Rosasco Francesca Odone 23 6 0 16 Sep 2022
Visual Recognition with Deep Nearest Centroids Wenguan Wang Cheng Han Tianfei Zhou Dongfang Liu 57 91 0 15 Sep 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development Nghia Duong-Trung Stefan Born Jong Woo Kim M. Schermeyer Katharina Paulick ... Thorben Werner Randolf Scholz Lars Schmidt-Thieme Peter Neubauer Ernesto Martinez 34 20 0 02 Sep 2022
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs Tejan Karmali Rishubh Parihar Susmit Agrawal Harsh Rangwani Varun Jampani M. Singh R. Venkatesh Babu 37 11 0 07 Aug 2022
Information Gain Sampling for Active Learning in Medical Image Classification Raghav Mehta Changjian Shui Brennan Nichyporuk Tal Arbel 19 5 0 01 Aug 2022
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning Junqiang Huang Xiangwen Kong Xiangyu Zhang 30 6 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 37 1 0 26 Jul 2022
Pretraining a Neural Network before Knowing Its Architecture Boris Knyazev AI4CE 27 1 0 20 Jul 2022
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning Shibani Santurkar Yann Dubois Rohan Taori Percy Liang Tatsunori Hashimoto CLIP VLM 19 41 0 15 Jul 2022
A Data-Based Perspective on Transfer Learning Saachi Jain Hadi Salman Alaa Khaddaj Eric Wong Sung Min Park A. Madry 36 37 0 12 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 27 32 0 11 Jul 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors Niv Cohen Jonathan Kahana Yedid Hoshen 19 3 0 07 Jul 2022
AANG: Automating Auxiliary Learning Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 41 9 0 27 May 2022
COVID-19 Severity Classification on Chest X-ray Images Aditi Sagar Aman Swaraj Karan Verma 22 1 0 25 May 2022
Informed Pre-Training on Prior Knowledge Laura von Rueden Sebastian Houben K. Cvejoski Christian Bauckhage Nico Piatkowski 32 6 0 23 May 2022
Deep transfer learning for image classification: a survey J. Plested Tom Gedeon OOD 27 36 0 20 May 2022
Robust and Efficient Medical Imaging with Self-Supervision Shekoofeh Azizi Laura J. Culp Jan Freyberg Basil Mustafa Sebastien Baur ... Geoffrey E. Hinton N. Houlsby Alan Karthikesalingam Mohammad Norouzi Vivek Natarajan OOD 71 58 0 19 May 2022
Efficient Deep Learning Methods for Identification of Defective Casting Products B. Bolla Mohan Kingam Sabeesh Ethiraj 33 5 0 14 May 2022