Billion-scale semi-supervised learning for image classification

2 May 2019

Papers citing "Billion-scale semi-supervised learning for image classification"

10 / 110 papers shown

Title
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 17 136 0 31 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 15 62 0 25 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 60 32 0 15 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 50 63 0 02 Mar 2020
Understanding and Improving Knowledge Distillation Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Chi Sagar Jain 14 129 0 10 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 56 1,183 0 24 Dec 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 29 149 0 12 Jul 2019
Fixing the train-test resolution discrepancy Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou 30 420 0 14 Jun 2019
Local Label Propagation for Large-Scale Semi-Supervised Learning Chengxu Zhuang Xuehao Ding Divyanshu Murli Daniel L. K. Yamins SSL 21 11 0 28 May 2019