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TiDAL: Learning Training Dynamics for Active Learning

TiDAL: Learning Training Dynamics for Active Learning

13 October 2022
Seong Min Kye
Kwanghee Choi
Hyeongmin Byun
Buru Chang
ArXivPDFHTML

Papers citing "TiDAL: Learning Training Dynamics for Active Learning"

6 / 6 papers shown
Title
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
Jiangyi Wang
Na Zhao
36
0
0
20 Mar 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets
Uncertainty Herding: One Active Learning Method for All Label Budgets
Wonho Bae
Gabriel L. Oliveira
Danica J. Sutherland
UQCV
62
0
0
30 Dec 2024
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of
  Multi-parametric Surrogates with Active Learning
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning
Sofya Dymchenko
Abhishek Purandare
Bruno Raffin
AI4CE
26
0
0
08 Oct 2024
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental
  Learning for Limited Biomedical Samples via Semantic Expansion
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
Yifei Yao
Hanrong Zhang
39
1
0
12 Sep 2024
Understanding Probe Behaviors through Variational Bounds of Mutual
  Information
Understanding Probe Behaviors through Variational Bounds of Mutual Information
Kwanghee Choi
Jee-weon Jung
Shinji Watanabe
SSL
20
4
0
15 Dec 2023
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
240
765
0
05 Dec 2019
1