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

Sanja Fidler

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

7 / 7 papers shown

Title
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 268 0 0 30 Dec 2024
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation Ye-Wen Wang Chen-Chen Zong Ming-Kun Xie Sheng-Jun Huang 36 0 0 26 Sep 2024
Taming Small-sample Bias in Low-budget Active Learning Linxin Song Jieyu Zhang Xiaotian Lu Dinesh Manocha AI4CE 38 0 0 19 Jun 2023
Knowledge-Aware Federated Active Learning with Non-IID Data Yu Cao Ye-ling Shi Baosheng Yu Jingya Wang Dacheng Tao FedML 33 18 0 24 Nov 2022
Optimizing Data Collection for Machine Learning Rafid Mahmood James Lucas J. Álvarez Sanja Fidler M. Law 96 27 0 03 Oct 2022
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 16 3 0 04 Jul 2022
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 316 3,387 0 09 Mar 2020