What makes ImageNet good for transfer learning?

30 August 2016

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

50 / 315 papers shown

Title
Understanding the impact of image and input resolution on deep digital pathology patch classifiers Eu Wern Teh Graham W. Taylor 19 0 0 29 Apr 2022
Diverse Imagenet Models Transfer Better Niv Nayman A. Golbert Asaf Noy Tan Ping Lihi Zelnik-Manor 27 0 0 19 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 49 318 0 06 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 22 0 04 Apr 2022
Negative Inner-Loop Learning Rates Learn Universal Features Tom Starshak 26 2 0 18 Mar 2022
Towards understanding deep learning with the natural clustering prior Simon Carbonnelle 18 0 0 15 Mar 2022
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification Michail Tarasiou S. Zafeiriou SSL 35 9 0 11 Mar 2022
Towards Inadequately Pre-trained Models in Transfer Learning Andong Deng Xingjian Li Di Hu Tianyang Wang Haoyi Xiong Chengzhong Xu 13 6 0 09 Mar 2022
Data augmentation with mixtures of max-entropy transformations for filling-level classification Apostolos Modas Andrea Cavallaro P. Frossard 22 0 0 08 Mar 2022
Fairness Indicators for Systematic Assessments of Visual Feature Extractors Priya Goyal Adriana Romero Soriano C. Hazirbas Levent Sagun Nicolas Usunier EGVM 22 31 0 15 Feb 2022
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets 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 17 23 0 14 Feb 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 33 14 0 01 Feb 2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations Daiqing Li Huan Ling Seung Wook Kim Karsten Kreis Adela Barriuso Sanja Fidler Antonio Torralba 36 103 0 12 Jan 2022
Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images Eu Wern Teh Graham W. Taylor 8 1 0 07 Jan 2022
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning Dorian Desblancs SSL 21 2 0 05 Jan 2022
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 34 86 0 16 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 28 23 0 14 Dec 2021
Controlled-rearing studies of newborn chicks and deep neural networks Donsuk Lee P. Gujarathi Justin N. Wood 8 10 0 12 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 43 0 08 Dec 2021
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias Shubhaankar Gupta Thomas P. O'Connell Bernhard Egger 22 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 30 291 0 26 Nov 2021
Transferability Metrics for Selecting Source Model Ensembles A. Agostinelli J. Uijlings Thomas Mensink V. Ferrari 15 23 0 25 Nov 2021
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 19 57 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 16 15 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 27 15 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 32 76 0 17 Nov 2021
Scalable Diverse Model Selection for Accessible Transfer Learning Daniel Bolya Rohit Mittapalli Judy Hoffman OODD 27 41 0 12 Nov 2021
Do we still need ImageNet pre-training in remote sensing scene classification? Vladimir Risojević Vladan Stojnić 38 11 0 05 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey 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 83 1,035 0 01 Nov 2021
A Survey of Self-Supervised and Few-Shot Object Detection Gabriel Huang I. Laradji David Vazquez Simon Lacoste-Julien Pau Rodríguez López ObjD 27 77 0 27 Oct 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 29 79 0 25 Oct 2021
Universality of Winning Tickets: A Renormalization Group Perspective William T. Redman Tianlong Chen Zhangyang Wang Akshunna S. Dogra UQCV 62 7 0 07 Oct 2021
Improving Fractal Pre-training Connor Anderson Ryan Farrell 88 27 0 06 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 34 2 0 06 Oct 2021
Visually Grounded Reasoning across Languages and Cultures Fangyu Liu Emanuele Bugliarello E. Ponti Siva Reddy Nigel Collier Desmond Elliott VLM LRM 109 168 0 28 Sep 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 76 26 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 14 23 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 35 6 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 Kohei Hayashi 40 12 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 30 8 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 35 9 0 16 Aug 2021
Pre-trained Models for Sonar Images Matias Valdenegro-Toro Alan Preciado-Grijalva Bilal Wehbe VLM 26 11 0 02 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels Jizong Peng Ping Wang Chrisitian Desrosiers M. Pedersoli SSL 31 63 0 29 Jul 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 51 229 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 V. Cheplygina 31 4 0 13 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 20 116 0 07 Jul 2021
Improving Multi-Modal Learning with Uni-Modal Teachers Chenzhuang Du Tingle Li Yichen Liu Zixin Wen Tianyu Hua Yue Wang Hang Zhao 29 45 0 21 Jun 2021
Multirate Training of Neural Networks Tiffany J. Vlaar B. Leimkuhler 24 4 0 20 Jun 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 36 52 0 18 Jun 2021
Joining datasets via data augmentation in the label space for neural networks Jake Zhao Mingfeng Ou Linji Xue Yunkai Cui Sai Wu Gang Chen 16 2 0 17 Jun 2021