ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.18158
  4. Cited By
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning

29 May 2023
Yu Wang
Pengchong Qiao
Chang-rui Liu
Guoli Song
Xiawu Zheng
Jie Chen
    OODD
ArXivPDFHTML

Papers citing "Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning"

7 / 7 papers shown
Title
Unsupervised Learning for Class Distribution Mismatch
Unsupervised Learning for Class Distribution Mismatch
Pan Du
Wangbo Zhao
Xinai Lu
Nian Liu
ZeLin Li
...
Suyun Zhao
H. Chen
Cuiping Li
Kai Wang
Yang You
26
0
0
11 May 2025
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
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
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
34
6
0
24 Jan 2023
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for
  Open-Set Semi-Supervised Learning
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Junkai Huang
Chaowei Fang
Weikai Chen
Z. Chai
Xiaolin K. Wei
Pengxu Wei
Liang Lin
Guanbin Li
OODD
50
63
0
12 Aug 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
238
509
0
15 Jan 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
256
656
0
23 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
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
1