How Out-of-Distribution Data Hurts Semi-Supervised Learning

7 October 2020

Papers citing "How Out-of-Distribution Data Hurts Semi-Supervised Learning"

5 / 5 papers shown

Title
Unsupervised Learning for Class Distribution Mismatch Pan Du Wangbo Zhao Xinai Lu Nian Liu Zechao Li ... Suyun Zhao H. Chen Cuiping Li Kai Wang Yang You 31 0 0 11 May 2025
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
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 34 7 0 24 Jan 2023
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 94 189 0 27 Feb 2021
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 270 1,275 0 06 Mar 2017