Self-training with Noisy Student improves ImageNet classification

11 November 2019

Papers citing "Self-training with Noisy Student improves ImageNet classification"

9 / 509 papers shown

Title
Subclass Distillation Rafael Müller Simon Kornblith Geoffrey E. Hinton 28 33 0 10 Feb 2020
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes E.C. Garrido-Merchán M. Molina AI4CE 19 11 0 02 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 104 3,467 0 21 Jan 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 21 64 0 16 Jan 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 106 1,183 0 24 Dec 2019
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images Irem Ülkü Erdem Akagündüz SSeg 40 189 0 21 Dec 2019
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 269 0 30 Sep 2019
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition Ming Cheng Zhan Ma M. Salman Asif Yiling Xu Haojie Liu Wenbo Bao Jun Sun 33 21 0 28 Sep 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 208 243 0 14 Jun 2018