They are Not Completely Useless: Towards Recycling Transferable
Unlabeled Data for Class-Mismatched Semi-Supervised Learning

They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning

27 November 2020

Ying Tai

Chengjie Wang

Papers citing "They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning"

16 / 16 papers shown

Title
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples Mingu Kwak Hyungu Kahng Seoung Bum Kim 27 0 0 03 Aug 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 42 1 0 16 Jul 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch Qikai Wang Rundong He Yongshun Gong Chunxiao Ren Hao Sun Xiaoshui Huang Yilong Yin 34 0 0 25 May 2024
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data Yang Yang Nan Jiang Yi Tian Xu De-Chuan Zhan 30 17 0 11 May 2024
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning Yue Fan Anna Kukleva Dengxin Dai Bernt Schiele 30 8 0 17 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds Muyang Li Runze Wu Haoyu Liu Jun-chen Yu Xun Yang Bo Han Tongliang Liu 29 17 0 29 Oct 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning Zhuo Huang Li Shen Jun-chen Yu Bo Han Tongliang Liu FedML 26 21 0 25 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 43 8 0 25 Oct 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 32 31 0 23 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data Sangwoo Mo Jong-Chyi Su Chih-Yao Ma Mido Assran Ishan Misra Licheng Yu Sean Bell AI4TS 29 13 0 28 Feb 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 31 6 0 24 Jan 2023
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning Lu Han Han-Jia Ye De-Chuan Zhan 19 6 0 15 Jan 2023
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data Zhe Huang Mary-Joy Sidhom B. Wessler M. C. Hughes 27 10 0 25 Aug 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Biwei Huang Chen Gong Tongliang Liu OODD 35 46 0 07 Jul 2022
Anisotropic Graph Convolutional Network for Semi-supervised Learning Mahsa Mesgaran Abdessamad BenHamza 31 9 0 20 Oct 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017