What makes ImageNet good for transfer learning?

30 August 2016

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

50 / 315 papers shown

Title
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 17 22 0 17 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 13 154 0 16 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 37 417 0 16 Jul 2020
MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval Mark Hamilton Stephanie Fu Mindren Lu Johnny Bui Darius Bopp ... Margaret Wang Marina Rogers Lei Zhang Chris Hoder William T. Freeman 29 3 0 14 Jul 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr Xingjian Li Haoyi Xiong Haozhe An Chengzhong Xu Dejing Dou ODL 20 39 0 07 Jul 2020
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability Kaizhao Liang Jacky Y. Zhang Wei Ping Zhuolin Yang Oluwasanmi Koyejo Yangqiu Song AAML 33 25 0 25 Jun 2020
Approximate Cross-Validation for Structured Models S. Ghosh William T. Stephenson Tin D. Nguyen Sameer K. Deshpande Tamara Broderick 10 15 0 23 Jun 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 23 153 0 22 Jun 2020
The color out of space: learning self-supervised representations for Earth Observation imagery Stefano Vincenzi Angelo Porrello Pietro Buzzega Marco Cipriano Pietro Fronte Roberto Cuccu C. Ippoliti A. Conte Simone Calderara SSL 18 63 0 22 Jun 2020
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems Leo F. Isikdogan Bhavin V. Nayak Chyuan-Tyng Wu Joao Peralta Moreira R. Sushma G. Michael 12 7 0 12 Jun 2020
What makes instance discrimination good for transfer learning? Nanxuan Zhao Zhirong Wu Rynson W. H. Lau Stephen Lin SSL 22 167 0 11 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 26 12 0 01 Jun 2020
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging Jitender Singh Virk Deepti R. Bathula 24 3 0 24 May 2020
Deepfakes Detection with Automatic Face Weighting D. M. Montserrat Hanxiang Hao S. Yarlagadda Sriram Baireddy Ruiting Shao ... Emily R. Bartusiak Justin Yang David Guera F. Zhu Edward J. Delp CVBM 27 113 0 25 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 33 43 0 21 Apr 2020
Self-Supervised Representation Learning on Document Images Adrian Cosma Mihai Ghidoveanu Michael Panaitescu-Liess Marius Popescu SSL 30 14 0 18 Apr 2020
A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation Ioanna Ntinou Enrique Sanchez Adrian Bulat M. Valstar Georgios Tzimiropoulos CVBM 13 25 0 14 Apr 2020
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? Hirokatsu Kataoka Tenga Wakamiya Kensho Hara Y. Satoh 3DPC 31 87 0 10 Apr 2020
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability Robin Hirt Akash Srivastava Carlos Berg Niklas Kühl 18 3 0 29 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks Ioannis D. Apostolopoulos Tzani Bessiana 17 1,908 0 25 Mar 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability Mingli Song Yixin Chen Jingwen Ye Xinchao Wang Chengchao Shen Feng Mao Xiuming Zhang 23 29 0 17 Mar 2020
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data Kazi Nazmul Haque R. Rana John H. L. Hansen Björn Schuller GAN 21 3 0 05 Mar 2020
Curriculum By Smoothing Samarth Sinha Animesh Garg Hugo Larochelle 11 7 0 03 Mar 2020
Disentangling Image Distortions in Deep Feature Space Simone Bianco Luigi Celona Paolo Napoletano 6 14 0 26 Feb 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 40 32 0 19 Feb 2020
Rethinking the Hyperparameters for Fine-tuning Hao Li Pratik Chaudhari Hao Yang Michael Lam Avinash Ravichandran Rahul Bhotika Stefano Soatto VLM 31 127 0 19 Feb 2020
Modular network for high accuracy object detection E. Yahalomi ObjD 8 0 0 24 Jan 2020
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers Bijeeta Pal Shruti Tople AAML 18 9 0 08 Jan 2020
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition Nishai Kooverjee Steven D. James Terence L van Zyl 28 4 0 02 Jan 2020
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 24 56 0 20 Dec 2019
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 10 315 0 16 Dec 2019
Efficient Object Detection in Large Images using Deep Reinforcement Learning Burak Uzkent Christopher Yeh Stefano Ermon ObjD 17 92 0 09 Dec 2019
Self-Supervised Learning of Video-Induced Visual Invariances Michael Tschannen Josip Djolonga Marvin Ritter Aravindh Mahendran Xiaohua Zhai N. Houlsby Sylvain Gelly Mario Lucic SSL 18 61 0 05 Dec 2019
Transfer Learning in Visual and Relational Reasoning T. S. Jayram Vincent Marois Tomasz Kornuta V. Albouy Emre Sevgen A. Ozcan NAI OOD LRM 19 2 0 27 Nov 2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 32 355 0 26 Nov 2019
Neural Random Forest Imitation Christoph Reinders Bodo Rosenhahn 16 1 0 25 Nov 2019
Towards Making Deep Transfer Learning Never Hurt Ruosi Wan Haoyi Xiong Xingjian Li Zhanxing Zhu Jun Huan 30 21 0 18 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 109 19,493 0 23 Oct 2019
Object landmark discovery through unsupervised adaptation Enrique Sanchez Georgios Tzimiropoulos 21 22 0 21 Oct 2019
Why bigger is not always better: on finite and infinite neural networks Laurence Aitchison 175 51 0 17 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 30 426 0 01 Oct 2019
Towards Understanding the Transferability of Deep Representations Hong Liu Mingsheng Long Jianmin Wang Michael I. Jordan 30 25 0 26 Sep 2019
Deep Model Transferability from Attribution Maps Mingli Song Yixin Chen Xinchao Wang Chengchao Shen Xiuming Zhang 27 54 0 26 Sep 2019
Pretraining boosts out-of-domain robustness for pose estimation Alexander Mathis Thomas Biasi Steffen Schneider Mert Yüksekgönül Byron Rogers Matthias Bethge Mackenzie W. Mathis OOD 30 122 0 24 Sep 2019
Meta-Neighborhoods Siyuan Shan Yang Li Junier Oliva 27 13 0 18 Sep 2019
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training Lucas Pascal Xavier Bost B. Huet 11 2 0 13 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum Yosuke Shinya E. Simo-Serra Taiji Suzuki 19 12 0 09 Sep 2019
Effective Domain Knowledge Transfer with Soft Fine-tuning Zhichen Zhao Bowen Zhang Yuning Jiang Li Xu Lei Li Wei-Ying Ma 22 3 0 05 Sep 2019
Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Hsiao-Tzu Hung Chung-Yang Wang Yi-Hsuan Yang Hsin-Min Wang 6 19 0 26 Aug 2019