Midpoint Regularization: from High Uncertainty Training to Conservative Classification

26 June 2021

Papers citing "Midpoint Regularization: from High Uncertainty Training to Conservative Classification"

11 / 11 papers shown

Title
Does label smoothing mitigate label noise? Michal Lukasik Srinadh Bhojanapalli A. Menon Surinder Kumar NoLa 116 348 0 05 Mar 2020
Regularization via Structural Label Smoothing Weizhi Li Gautam Dasarathy Visar Berisha UQCV 42 51 0 07 Jan 2020
Revisiting Knowledge Distillation via Label Smoothing Regularization Li-xin Yuan Francis E. H. Tay Guilin Li Tao Wang Jiashi Feng 40 91 0 25 Sep 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 143 1,931 0 06 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 587 4,735 0 13 May 2019
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students Chenglin Yang Lingxi Xie Siyuan Qiao Alan Yuille 63 135 0 15 May 2018
Learning from Between-class Examples for Deep Sound Recognition Yuji Tokozume Yoshitaka Ushiku Tatsuya Harada SSL 62 236 0 28 Nov 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 105 642 0 27 Jul 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 148 5,577 0 21 Jul 2017
Towards better decoding and language model integration in sequence to sequence models J. Chorowski Navdeep Jaitly 62 368 0 08 Dec 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 295 10,149 0 16 Mar 2016