SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning

17 November 2023

Yue Fan

Anna Kukleva

Dengxin Dai

Bernt Schiele

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Papers citing "SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning"

25 / 25 papers shown

Title
The Others: Naturally Isolating Out-of-Distribution Samples for Robust Open-Set Semi-Supervised Learning You Rim Choi Subeom Park Seojun Heo Eunchung Noh Hyung-Sin Kim OODD 115 0 0 17 Apr 2025
USB: A Unified Semi-supervised Learning Benchmark for Classification Yidong Wang Hao Chen Yue Fan Wangbin Sun R. Tao ... T. Shinozaki Bernt Schiele Jindong Wang Xingxu Xie Yue Zhang 69 118 0 12 Aug 2022
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 84 46 0 05 Jul 2022
SimMatch: Semi-supervised Learning with Similarity Matching Mingkai Zheng Shan You Lang Huang Fei Wang Chao Qian Chang Xu 90 183 0 14 Mar 2022
Revisiting Consistency Regularization for Semi-Supervised Learning Yue Fan Anna Kukleva Bernt Schiele 129 62 0 10 Dec 2021
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data Jongjin Park Sukmin Yun Jongheon Jeong Jinwoo Shin 73 29 0 29 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot Rebecca Roelofs Kihyuk Sohn Nicholas Carlini Alexey Kurakin 54 144 0 08 Jun 2021
OVANet: One-vs-All Network for Universal Domain Adaptation Kuniaki Saito Kate Saenko 95 150 0 07 Apr 2021
Open-World Semi-Supervised Learning Kaidi Cao Maria Brbic J. Leskovec BDL 72 187 0 06 Feb 2021
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong Guosheng Lin SSL 82 263 0 23 Nov 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 64 132 0 22 Jul 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 343 670 0 23 Mar 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 160 3,572 0 21 Jan 2020
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 315 2,392 0 11 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 250 3,503 0 30 Sep 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 121 843 0 08 Aug 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 135 2,321 0 29 Apr 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 282 9,803 0 25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 124 3,773 0 15 Aug 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 151 2,738 0 13 Apr 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,567 0 07 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 166 3,472 0 07 Oct 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 7,995 0 23 May 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 141 2,686 0 14 Nov 2013