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Low Budget Active Learning via Wasserstein Distance: An Integer
  Programming Approach

Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach

5 June 2021
Rafid Mahmood
Sanja Fidler
M. Law
ArXivPDFHTML

Papers citing "Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach"

5 / 5 papers shown
Title
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
164
0
0
30 Dec 2024
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
Ye-Wen Wang
Chen-Chen Zong
Ming-Kun Xie
Sheng-Jun Huang
23
0
0
26 Sep 2024
Taming Small-sample Bias in Low-budget Active Learning
Taming Small-sample Bias in Low-budget Active Learning
Linxin Song
Jieyu Zhang
Xiaotian Lu
Dinesh Manocha
AI4CE
20
0
0
19 Jun 2023
Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Xueying Zhan
Zeyu Dai
Qingzhong Wang
Qing Li
Haoyi Xiong
Dejing Dou
Antoni B. Chan
OODD
11
3
0
04 Jul 2022
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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