Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice

29 September 2018

Papers citing "Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice"

8 / 8 papers shown

Title
Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment Songqiao Hu Zeyi Liu Xiao He 72 1 0 19 Mar 2025
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 135 0 0 17 Oct 2024
Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News Axel Abels Elias Fernández Domingos Ann Nowé Tom Lenaerts 93 1 0 11 Mar 2024
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget Guy Hacohen D. Weinshall 107 9 0 06 Jun 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 112 21 0 14 Feb 2023
Onception: Active Learning with Expert Advice for Real World Machine Translation Vania Mendoncca Ricardo Rei Luísa Coheur Alberto Sardinha INESC-ID Lisboa 97 7 0 09 Mar 2022
Learning active learning at the crossroads? evaluation and discussion L. Desreumaux V. Lemaire 77 12 0 16 Dec 2020
From Weakly Supervised Learning to Biquality Learning: an Introduction Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols A. Ouorou 105 22 0 16 Dec 2020