Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning

14 June 2016

Papers citing "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning"

50 / 580 papers shown

Title
Negative sampling in semi-supervised learning John Chen Vatsal Shah Anastasios Kyrillidis 52 23 0 12 Nov 2019
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations Gerda Bortsova Florian Dubost Laurens Hogeweg Ioannis Katramados Marleen de Bruijne 61 181 0 04 Nov 2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 92 23 0 28 Oct 2019
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 73 285 0 26 Oct 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 130 584 0 06 Sep 2019
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets Yang Li Jianhe Yuan Zhiqun Zhao Hao Sun Zhihai He 46 6 0 04 Sep 2019
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation Jaehoon Choi Taekyung Kim Changick Kim 79 244 0 02 Sep 2019
Deep Ordinal Regression for Pledge Specificity Prediction Shivashankar Subramanian Trevor Cohn Timothy Baldwin 56 7 0 31 Aug 2019
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification Lei Qi Lei Wang Jing Huo Yinghuan Shi Yang Gao 84 46 0 15 Aug 2019
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning G. Wang Jianxin Wu 63 30 0 09 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 125 848 0 08 Aug 2019
Non-technical Loss Detection with Statistical Profile Images Based on Semi-supervised Learning Jiangteng Li Fei Wang 20 2 0 09 Jul 2019
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning Phi Vu Tran SSL 50 16 0 25 Jun 2019
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets Riddhish Bhalodia Shireen Y. Elhabian L. Kavan Ross T. Whitaker 18 1 0 13 Jun 2019
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification Chia-Wen Kuo Chih-Yao Ma Jia-Bin Huang Z. Kira 34 2 0 12 Jun 2019
Selfie: Self-supervised Pretraining for Image Embedding Trieu H. Trinh Minh-Thang Luong Quoc V. Le SSL 72 113 0 07 Jun 2019
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 117 29 0 05 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 68 4 0 03 Jun 2019
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training Jan Laermann Wojciech Samek Nils Strodthoff OOD 68 15 0 03 Jun 2019
Adversarially Robust Generalization Just Requires More Unlabeled Data Runtian Zhai Tianle Cai Di He Chen Dan Kun He John E. Hopcroft Liwei Wang 98 158 0 03 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 130 754 0 31 May 2019
Are Labels Required for Improving Adversarial Robustness? J. Uesato Jean-Baptiste Alayrac Po-Sen Huang Robert Stanforth Alhussein Fawzi Pushmeet Kohli AAML 95 335 0 31 May 2019
A Review of Semi Supervised Learning Theories and Recent Advances E. Tu Jie Yang 40 15 0 28 May 2019
Countering Noisy Labels By Learning From Auxiliary Clean Labels Tsung Wei Tsai Chongxuan Li Jun Zhu SSL 19 1 0 23 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 180 1,436 0 22 May 2019
Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman SSL 71 51 0 21 May 2019
Target Based Speech Act Classification in Political Campaign Text Shivashankar Subramanian Trevor Cohn Timothy Baldwin 11 8 0 20 May 2019
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 111 53 0 10 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 197 3,044 0 06 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 148 2,331 0 29 Apr 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 128 626 0 09 Apr 2019
Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network Abhay Kumar Nishant Jain Chirag Singh Suraj Tripathi 13 5 0 30 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 61 246 0 27 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 143 777 0 09 Mar 2019
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss Subhankar Roy Aliaksandr Siarohin E. Sangineto Samuel Rota Buló N. Sebe Elisa Ricci 126 164 0 07 Mar 2019
Semi-Supervised Few-Shot Learning with Prototypical Random Walks A. Ayyad Yuchen Li Nassir Navab Shadi Albarqouni Mohamed Elhoseiny 38 7 0 06 Mar 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation Xuelong Li Lequan Yu Hao Chen Chi-Wing Fu Lei Xing Pheng-Ann Heng MedIm 92 389 0 28 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 99 63 0 25 Feb 2019
Semi-Supervised Learning by Label Gradient Alignment Jacob Jackson John Schulman 94 20 0 06 Feb 2019
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need Vighnesh Birodkar H. Mobahi Samy Bengio 83 82 0 29 Jan 2019
Multi-class Classification without Multi-class Labels Yen-Chang Hsu Zhaoyang Lv Joel Schlosser Phillip Odom Z. Kira 96 168 0 02 Jan 2019
Learning to Learn from Noisy Labeled Data Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli NoLa 80 334 0 13 Dec 2018
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu Ke Wang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 239 127 0 29 Nov 2018
Efficient Augmentation via Data Subsampling Michael Kuchnik Virginia Smith 120 22 0 11 Oct 2018
Domain Confusion with Self Ensembling for Unsupervised Adaptation Jiawei Wang Zhaoshui He Chengjian Feng Zhouping Zhu Q. Lin Jun Lv Shengli Xie 60 3 0 10 Oct 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 76 334 0 22 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 393 2,677 0 20 Aug 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model Xiaomeng Li Lequan Yu Hao Chen Chi-Wing Fu Pheng-Ann Heng MedIm 68 135 0 12 Aug 2018
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning Thomas Robert Nicolas Thome Matthieu Cord 117 39 0 30 Jul 2018
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning I. Laradji Reza Babanezhad 64 40 0 06 Jul 2018