Learning with Pseudo-Ensembles

16 December 2014

Papers citing "Learning with Pseudo-Ensembles"

50 / 117 papers shown

Title
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization Yue Duan Zhen Zhao Lei Qi Lei Wang Luping Zhou Yinghuan Shi Yang Gao 38 33 0 27 Mar 2022
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs Hazel Doughty Cees G. M. Snoek 32 19 0 23 Mar 2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels Yuchao Wang Haochen Wang Yujun Shen Jingjing Fei Wei Li Guoqiang Jin Liwei Wu Rui Zhao Xinyi Le UQCV 25 331 0 08 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation Wenqiao Zhang Lei Zhu James Hallinan A. Makmur Shengyu Zhang Qingpeng Cai Beng Chin Ooi 30 79 0 04 Mar 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 31 17 0 24 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning Yao Yao Ju Shen Jin Xu Bin Zhong Li Xiao 29 3 0 17 Feb 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis Shuai Zhang Ming Wang Sijia Liu Pin-Yu Chen Jinjun Xiong SSL MLT 41 22 0 21 Jan 2022
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 43 0 08 Dec 2021
Semi-Supervised Learning with Taxonomic Labels Jong-Chyi Su Subhransu Maji 41 10 0 23 Nov 2021
Semi-Supervised Vision Transformers Zejia Weng Xitong Yang Ang Li Zuxuan Wu Yu-Gang Jiang ViT 17 40 0 22 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets Safwen Naimi Rien van Leeuwen W. Souidène S. B. Saoud SSL ViT 25 2 0 08 Nov 2021
RCT: Random Consistency Training for Semi-supervised Sound Event Detection Nian Shao Erfan Loweimi Xiaofei Li 29 13 0 21 Oct 2021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations Dejiao Zhang Wei Xiao Henghui Zhu Xiaofei Ma Andrew O. Arnold SSL 51 29 0 16 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 255 863 0 15 Oct 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding Yi Tian Xu Lei Shang Jinxing Ye Qi Qian Yu-Feng Li Baigui Sun Hao Li Rong Jin 47 218 0 01 Sep 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 29 56 0 21 Aug 2021
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision Tilman Krokotsch M. Knaak C. Gühmann 16 22 0 19 Aug 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang Tianxiang Pan Bin Wang 34 54 0 11 Jul 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 15 10 0 22 Jun 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher Mengde Xu Zheng-Wei Zhang Han Hu Jianfeng Wang Lijuan Wang Fangyun Wei X. Bai Zicheng Liu 28 489 0 16 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 28 172 0 14 Jun 2021
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm S. J. Wetzel R. Melko Isaac Tamblyn 18 10 0 11 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Ilya Mironov Karthik Prasad I. Shilov Florian Tramèr 16 62 0 07 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li Zuxuan Wu Abhinav Shrivastava Larry S. Davis 16 78 0 01 Jun 2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov Stefan Roth 44 227 0 30 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang-feng Zhou Chaohui Yu Zhibin Wang Qi Qian Hao Li ObjD 27 195 0 21 Mar 2021
MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels Pablo Gómez Gabriele Meoni 45 34 0 18 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 36 174 0 05 Mar 2021
Twin Neural Network Regression S. J. Wetzel Kevin Ryczko R. Melko Isaac Tamblyn UQCV 28 11 0 29 Dec 2020
Efficient Estimation of Influence of a Training Instance Sosuke Kobayashi Sho Yokoi Jun Suzuki Kentaro Inui TDI 32 15 0 08 Dec 2020
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 9 17 0 05 Nov 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation Dinghan Shen Ming Zheng Yelong Shen Yanru Qu Weizhu Chen AAML 29 130 0 29 Sep 2020
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition Vikas Kumar Shivansh Rao Li Yu CVBM NoLa 39 31 0 06 Aug 2020
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 20 65 0 17 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 131 6,655 0 13 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 20 401 0 13 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 48 645 0 11 Jun 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 38 493 0 10 May 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 29 274 0 31 Mar 2020
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information Esther Rolf Michael I. Jordan Benjamin Recht 14 6 0 12 Mar 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 32 153 0 11 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 104 3,467 0 21 Jan 2020
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data Corinne Jones Vincent Roulet Zaïd Harchaoui 36 1 0 30 Dec 2019
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? Jingfeng Zhang Bo Han Gang Niu Tongliang Liu Masashi Sugiyama 30 6 0 20 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 88 2,364 0 11 Nov 2019
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 36 284 0 26 Oct 2019
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis Yueming Jin Huaxia Li Qi Dou Hao Chen J. Qin Chi-Wing Fu Pheng-Ann Heng 24 173 0 13 Jul 2019
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training Jan Laermann Wojciech Samek Nils Strodthoff OOD 32 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