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VaB-AL: Incorporating Class Imbalance and Difficulty with Variational
  Bayes for Active Learning

VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning

25 March 2020
Jongwon Choi
K. M. Yi
Jihoon Kim
Jincho Choo
Byoungjip Kim
Jin-Yeop Chang
Youngjune Gwon
H. Chang
    DRL
ArXivPDFHTML

Papers citing "VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning"

9 / 9 papers shown
Title
Accelerating Neural Field Training via Soft Mining
Accelerating Neural Field Training via Soft Mining
Shakiba Kheradmand
Daniel Rebain
Gopal Sharma
Hossam N. Isack
Abhishek Kar
Andrea Tagliasacchi
Kwang Moo Yi
40
4
0
29 Nov 2023
Transfer and Active Learning for Dissonance Detection: Addressing the
  Rare-Class Challenge
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
Vasudha Varadarajan
Swanie Juhng
Syeda Mahwish
Xiaoran Liu
Jonah Luby
C. Luhmann
H. A. Schwartz
33
3
0
03 May 2023
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
29
1
0
23 May 2022
Active Learning by Feature Mixing
Active Learning by Feature Mixing
Amin Parvaneh
Ehsan Abbasnejad
Damien Teney
Reza Haffari
A. Hengel
Javen Qinfeng Shi
29
89
0
14 Mar 2022
Learning Distinctive Margin toward Active Domain Adaptation
Learning Distinctive Margin toward Active Domain Adaptation
Ming-Kun Xie
Yuxi Li
Yabiao Wang
Zekun Luo
Zhenye Gan
Zhongyi Sun
M. Chi
Chengjie Wang
Pei Wang
23
31
0
11 Mar 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao
Jincheng Zhu
Chengjiang Long
Zeyao Zhang
Yuxin Wang
Z. Du
Xin Yang
43
13
0
11 Dec 2021
Reducing Label Effort: Self-Supervised meets Active Learning
Reducing Label Effort: Self-Supervised meets Active Learning
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
VLM
24
60
0
25 Aug 2021
Supervised Anomaly Detection via Conditional Generative Adversarial
  Network and Ensemble Active Learning
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
Zhi Chen
Jiang Duan
Li Kang
Guoping Qiu
AI4CE
47
31
0
24 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1