Learning with Pseudo-Ensembles

16 December 2014

Papers citing "Learning with Pseudo-Ensembles"

17 / 117 papers shown

Title
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 38 52 0 10 May 2019
Unsupervised Domain Adaptation using Generative Models and Self-ensembling Eman T. Hassan Xin Chen David J. Crandall OOD 20 7 0 02 Dec 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 11 333 0 22 Sep 2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction Jianguo Zhang Ji Wang Lifang He Zhao Li Philip S. Yu 23 31 0 11 Sep 2018
Certified Adversarial Robustness with Additive Noise Bai Li Changyou Chen Wenlin Wang Lawrence Carin AAML 28 341 0 10 Sep 2018
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 33 89 0 07 Jun 2018
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 27 226 0 02 Apr 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 10 444 0 15 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 25 45 0 11 Mar 2018
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang 19 242 0 01 Nov 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 30 446 0 28 Feb 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 78 2,523 0 07 Oct 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 90 4,873 0 27 Jun 2016
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks Stefan Lee Senthil Purushwalkam Michael Cogswell David J. Crandall Dhruv Batra FedML UQCV 22 309 0 19 Nov 2015
Dropout as data augmentation Xavier Bouthillier K. Konda Pascal Vincent Roland Memisevic 34 133 0 29 Jun 2015
On the Inductive Bias of Dropout D. Helmbold Philip M. Long 41 71 0 15 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012