Deep Low-Density Separation for Semi-Supervised Classification

22 May 2022

Papers citing "Deep Low-Density Separation for Semi-Supervised Classification"

19 / 19 papers shown

Title
Local Label Propagation for Large-Scale Semi-Supervised Learning Chengxu Zhuang Xuehao Ding Divyanshu Murli Daniel L. K. Yamins SSL 41 11 0 28 May 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 66 622 0 09 Apr 2019
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance Neal Jean Sang Michael Xie Stefano Ermon BDL SSL 49 76 0 26 May 2018
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 38 483 0 27 May 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 76 452 0 07 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 306 1,275 0 06 Mar 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 96 1,631 0 03 Mar 2017
RSSL: Semi-supervised Learning in R Jesse H. Krijthe 15 16 0 23 Dec 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 383 5,362 0 05 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 165 2,543 0 07 Oct 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 67 1,110 0 14 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 364 37,815 0 09 Mar 2016
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 67 1,369 0 09 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 354 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 887 149,474 0 22 Dec 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 71 2,731 0 20 Jun 2014
Deep Learning using Linear Support Vector Machines Yichuan Tang 76 893 0 02 Jun 2013
Learning by Transduction A. Gammerman V. Vovk V. Vapnik 122 511 0 30 Jan 2013
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 113 6,619 0 22 Dec 2012