Temporal Ensembling for Semi-Supervised Learning

7 October 2016

Papers citing "Temporal Ensembling for Semi-Supervised Learning"

50 / 507 papers shown

Title
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 39 308 0 04 Oct 2019
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 269 0 30 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations Vishnu Suresh Lokhande Songwong Tasneeyapant Abhay Venkatesh Sathya Ravi Vikas Singh 21 29 0 12 Sep 2019
Learning to Discover Novel Visual Categories via Deep Transfer Clustering Kai Han Andrea Vedaldi Andrew Zisserman SSL 21 291 0 26 Aug 2019
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 233 790 0 26 Aug 2019
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification Lei Qi Lei Wang Jing Huo Yinghuan Shi Yang Gao 21 45 0 15 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 50 840 0 31 Jul 2019
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning Sepidehsadat Hosseini M. Shabani N. Cho CVBM 36 3 0 08 Jul 2019
Deep Two-path Semi-supervised Learning for Fake News Detection Xishuang Dong Uboho Victor Shanta Chowdhury Lijun Qian 19 26 0 10 Jun 2019
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 29 29 0 05 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 25 4 0 03 Jun 2019
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training Jan Laermann Wojciech Samek Nils Strodthoff OOD 29 15 0 03 Jun 2019
Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman SSL 24 49 0 21 May 2019
Semi-Supervised Learning by Augmented Distribution Alignment Qin Wang Wen Li Luc Van Gool 21 68 0 20 May 2019
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 38 52 0 10 May 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection Qi Cai Yingwei Pan Chong-Wah Ngo Xinmei Tian Ling-yu Duan Ting Yao ViT OOD 30 306 0 25 Apr 2019
Feature Fusion for Online Mutual Knowledge Distillation Jangho Kim Minsung Hyun Inseop Chung Nojun Kwak FedML 26 91 0 19 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 38 128 0 17 Apr 2019
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering Bo Chen Xiaotao Gu Yufeng Hu Siliang Tang Guoping Hu Yueting Zhuang Xiang Ren 23 19 0 13 Apr 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 37 179 0 27 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations Guo-Jun Qi Liheng Zhang Chang Wen Chen Qi Tian DRL 21 42 0 23 Mar 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection Jia-Xing Zhong Nannan Li Weijie Kong Shan Liu Thomas H. Li Ge Li NoLa SSL 24 396 0 18 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 39 756 0 09 Mar 2019
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model Wenhui Cui Yanling Liu Yuxing Li Meng-Hao Guo Yiming Li Xiuli Li Tianle Wang Xiangzhu Zeng Chuyang Ye 23 174 0 04 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 19 377 0 28 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 62 0 25 Feb 2019
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 26 63 0 20 Dec 2018
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction Yifan Xing Rahul Tewari Paulo R. S. Mendonça 3DH 32 8 0 14 Dec 2018
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets Hong-Yu Zhou Avital Oliver Jianxin Wu Yefeng Zheng 24 22 0 13 Dec 2018
Unsupervised Domain Adaptation using Generative Models and Self-ensembling Eman T. Hassan Xin Chen David J. Crandall OOD 20 7 0 02 Dec 2018
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation Tuan-Hung Vu Himalaya Jain Max Bucher Matthieu Cord P. Pérez 40 1,280 0 30 Nov 2018
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models Pengyuan Ren Jianmin Li 25 9 0 20 Nov 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 16 89 0 16 Oct 2018
Classification from Positive, Unlabeled and Biased Negative Data Yu-Guan Hsieh Gang Niu Masashi Sugiyama 22 79 0 01 Oct 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
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud Ji Wang Jianguo Zhang Weidong Bao Xiaomin Zhu Bokai Cao Philip S. Yu 26 193 0 10 Sep 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 30 86 0 31 Aug 2018
A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels Shaobo Min Xiao Chen Zhengjun Zha Feng Wu Yongdong Zhang 26 79 0 31 Jul 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
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 11 30 0 01 Jun 2018
Collaborative Learning for Deep Neural Networks Guocong Song Wei Chai FedML 21 192 0 30 May 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 36 1,020 0 12 May 2018
Strong Baselines for Neural Semi-supervised Learning under Domain Shift Sebastian Ruder Barbara Plank 14 171 0 25 Apr 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 58 2,028 0 18 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
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care Patrick Schwab E. Keller C. Muroi David J. Mack C. Strässle W. Karlen 29 23 0 14 Feb 2018
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 24 62 0 17 Nov 2017
Global versus Localized Generative Adversarial Nets Guo-Jun Qi Liheng Zhang Hao Hu Marzieh Edraki Jingdong Wang Xian-Sheng Hua GAN 32 81 0 16 Nov 2017
Structured Generative Adversarial Networks Zhijie Deng Huatian Zhang Xiaodan Liang Luona Yang Shizhen Xu Jun Zhu Eric Xing GAN 31 53 0 02 Nov 2017