Big Transfer (BiT): General Visual Representation Learning

24 December 2019

Papers citing "Big Transfer (BiT): General Visual Representation Learning"

24 / 724 papers shown

Title
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 22 530 0 01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 54 1,664 0 29 Jun 2020
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings Mayee F. Chen Daniel Y. Fu Frederic Sala Sen Wu Ravi Teja Mullapudi Fait Poms Kayvon Fatahalian Christopher Ré 17 10 0 26 Jun 2020
Parametric Instance Classification for Unsupervised Visual Feature Learning Yue Cao Zhenda Xie B. Liu Yutong Lin Zheng-Wei Zhang Han Hu VLM 18 60 0 25 Jun 2020
Learning Potentials of Quantum Systems using Deep Neural Networks Arijit Sehanobish H. Corzo Onur Kara David van Dijk 6 12 0 23 Jun 2020
A general framework for defining and optimizing robustness Alessandro Tibo M. Jaeger Kim G. Larsen 10 0 0 19 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels? Hartmut Maennel Ibrahim M. Alabdulmohsin Ilya O. Tolstikhin R. Baldock Olivier Bousquet Sylvain Gelly Daniel Keysers FedML 35 86 0 18 Jun 2020
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets Roozbeh Yousefzadeh Furong Huang 9 6 0 17 Jun 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 8 395 0 12 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Tsung-Yi Lin Yin Cui Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 21 645 0 11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 19 432 0 11 Jun 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 16 4,407 0 23 Apr 2020
Meta-Meta Classification for One-Shot Learning Arkabandhu Chowdhury Dipak Chaudhari Swarat Chaudhuri C. Jermaine 12 5 0 17 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 17 136 0 31 Mar 2020
TResNet: High Performance GPU-Dedicated Architecture T. Ridnik Hussam Lawen Asaf Noy Emanuel Ben-Baruch Gilad Sharir Itamar Friedman OOD 20 211 0 30 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 250 656 0 23 Mar 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 15 161 0 20 Feb 2020
Do We Need Zero Training Loss After Achieving Zero Training Error? Takashi Ishida Ikko Yamane Tomoya Sakai Gang Niu Masashi Sugiyama AI4CE 41 134 0 20 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,460 0 23 Jan 2020
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 39 2,358 0 11 Nov 2019
Distributed Learning of Deep Neural Networks using Independent Subnet Training John Shelton Hyatt Cameron R. Wolfe Michael Lee Yuxin Tang Anastasios Kyrillidis Christopher M. Jermaine OOD 13 35 0 04 Oct 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,418 0 02 Aug 2019
O2A: One-shot Observational learning with Action vectors Leo Pauly Wisdom C. Agboh David C. Hogg R. Fuentes 44 9 0 17 Oct 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 197 243 0 14 Jun 2018