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What makes ImageNet good for transfer learning?

30 August 2016

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

50 / 320 papers shown

Title
COVID-19 Severity Classification on Chest X-ray Images Aditi Sagar Aman Swaraj Karan Verma 139 1 0 25 May 2022
Informed Pre-Training on Prior Knowledge Laura von Rueden Sebastian Houben K. Cvejoski Christian Bauckhage Nico Piatkowski 151 7 0 23 May 2022
Deep transfer learning for image classification: a survey J. Plested Musa Phiri Tom Gedeon OOD 162 46 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 187 69 0 19 May 2022
Efficient Deep Learning Methods for Identification of Defective Casting Products B. Bolla Mohan Kingam Sabeesh Ethiraj 113 8 0 14 May 2022
Understanding the impact of image and input resolution on deep digital pathology patch classifiersCanadian Conference on Computer and Robot Vision (CRV), 2022 Eu Wern Teh Graham W. Taylor 61 0 0 29 Apr 2022
Diverse Imagenet Models Transfer Better Niv Nayman A. Golbert Asaf Noy Tan Ping Lihi Zelnik-Manor 147 0 0 19 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious CorrelationsInternational Conference on Learning Representations (ICLR), 2022 Polina Kirichenko Pavel Izmailov A. Wilson OOD 329 413 0 06 Apr 2022
How stable are Transferability Metrics evaluations?European Conference on Computer Vision (ECCV), 2022 A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 329 32 0 04 Apr 2022
Negative Inner-Loop Learning Rates Learn Universal Features Tom Starshak 62 3 0 18 Mar 2022
Towards understanding deep learning with the natural clustering prior Simon Carbonnelle 144 0 0 15 Mar 2022
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification Michail Tarasiou Stefanos Zafeiriou SSL 148 9 0 11 Mar 2022
Towards Inadequately Pre-trained Models in Transfer LearningIEEE International Conference on Computer Vision (ICCV), 2022 Andong Deng Xingjian Li Di Hu Tianyang Wang Haoyi Xiong Chengzhong Xu 123 7 0 09 Mar 2022
Data augmentation with mixtures of max-entropy transformations for filling-level classificationEuropean Signal Processing Conference (EUSIPCO), 2022 Apostolos Modas Andrea Cavallaro P. Frossard 128 0 0 08 Mar 2022
Fairness Indicators for Systematic Assessments of Visual Feature ExtractorsConference on Fairness, Accountability and Transparency (FAccT), 2022 Priya Goyal Adriana Romero Soriano C. Hazirbas Levent Sagun Nicolas Usunier EGVM 176 34 0 15 Feb 2022
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsNeural Information Processing Systems (NeurIPS), 2022 Xia Wei Aldo A. Faisal Moritz Grosse-Wentrup Alexandre Gramfort Sylvain Chevallier ... Stephen M. Gordon Vernon J. Lawhern Maciej Śliwowski Vincent Rouanne Piotr Tempczyk OOD 89 28 0 14 Feb 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 152 20 0 01 Feb 2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise AnnotationsComputer Vision and Pattern Recognition (CVPR), 2022 Daiqing Li Huan Ling Seung Wook Kim Karsten Kreis Adela Barriuso Sanja Fidler Antonio Torralba 257 127 0 12 Jan 2022
Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural ImagesIEEE International Symposium on Biomedical Imaging (ISBI), 2022 Eu Wern Teh Graham W. Taylor 102 1 0 07 Jan 2022
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning Dorian Desblancs SSL 215 3 0 05 Jan 2022
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 354 107 0 16 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Shucheng Zhou Xing Xie Lei Chen Philip S. Yu 157 25 0 14 Dec 2021
Controlled-rearing studies of newborn chicks and deep neural networks Donsuk Lee P. Gujarathi Justin N. Wood 82 13 0 12 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 170 55 0 08 Dec 2021
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias Shubhaankar Gupta Thomas P. O'Connell Bernhard Egger 91 1 0 30 Nov 2021
AI and the Everything in the Whole Wide World Benchmark Inioluwa Deborah Raji Emily M. Bender Amandalynne Paullada Emily L. Denton A. Hanna 220 388 0 26 Nov 2021
Transferability Metrics for Selecting Source Model Ensembles A. Agostinelli J. Uijlings Thomas Mensink V. Ferrari 225 29 0 25 Nov 2021
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 256 74 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 95 19 0 23 Nov 2021
Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks Chaitanya Patel Shashank Sharma Valerie J. Pasquarella Varun Gulshan SSL 145 18 0 19 Nov 2021
TorchGeo: Deep Learning With Geospatial Data Adam J. Stewart Caleb Robinson Isaac Corley Anthony Ortiz J. L. Ferres Arindam Banerjee 3DPC 304 97 0 17 Nov 2021
Scalable Diverse Model Selection for Accessible Transfer LearningNeural Information Processing Systems (NeurIPS), 2021 Daniel Bolya Rohit Mittapalli Judy Hoffman OODD 171 53 0 12 Nov 2021
Do we still need ImageNet pre-training in remote sensing scene classification? Vladimir Risojević Vladan Stojnić 212 12 0 05 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing Surveys (CSUR), 2021 Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 382 1,325 0 01 Nov 2021
A Survey of Self-Supervised and Few-Shot Object DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Gabriel Huang I. Laradji David Vazquez Damien Scieur Pau Rodríguez López ObjD 223 100 0 27 Oct 2021
Parameter Prediction for Unseen Deep ArchitecturesNeural Information Processing Systems (NeurIPS), 2021 Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 233 95 0 25 Oct 2021
Universality of Winning Tickets: A Renormalization Group Perspective William T. Redman Tianlong Chen Zinan Lin Akshunna S. Dogra UQCV 237 8 0 07 Oct 2021
Improving Fractal Pre-training Connor Anderson Ryan Farrell 259 31 0 06 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 207 4 0 06 Oct 2021
Visually Grounded Reasoning across Languages and Cultures Fangyu Liu Emanuele Bugliarello Edoardo Ponti Siva Reddy Nigel Collier Desmond Elliott VLM LRM 401 199 0 28 Sep 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 224 32 0 19 Sep 2021
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data Shikun Zhang Omid Jafari P. Nagarkar VLM 76 29 0 08 Sep 2021
Effect of the output activation function on the probabilities and errors in medical image segmentation Lars Nieradzik G. Scheuermann D. Saur Christina Gillmann SSeg MedIm UQCV 135 8 0 02 Sep 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kunihiko Miyoshi 287 14 0 25 Aug 2021
Contrastive Identification of Covariate Shift in Image Data Matthew Lyle Olson Thu Nguyen Gaurav Dixit Neale Ratzlaff Weng-Keen Wong Minsuk Kahng OOD 117 11 0 18 Aug 2021
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping Rahul Ghosh X. Jia Chenxi Lin Zhenong Jin Vipin Kumar SSL 133 11 0 16 Aug 2021
Pre-trained Models for Sonar Images Matias Valdenegro-Toro Alan Preciado-Grijalva Bilal Wehbe VLM 82 20 0 02 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labelsNeural Information Processing Systems (NeurIPS), 2021 Jizong Peng Ping Wang Chrisitian Desrosiers M. Pedersoli SSL 181 71 0 29 Jul 2021
Dataset Distillation with Infinitely Wide Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2021 Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 370 269 0 27 Jul 2021
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification Irma van den Brandt F. Fok B. Mulders Joaquin Vanschoren Veronika Cheplygina 112 4 0 13 Jul 2021