On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake?

16 November 2020

Papers citing "On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake?"

4 / 4 papers shown

Title
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 40 10 0 16 Jun 2023
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification Yu Li Mu-Hwa Chen Yannan Liu Daojing He Qiang Xu 42 9 0 30 Nov 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 24 105 0 25 Mar 2022
Active Learning at the ImageNet Scale Z. Emam Hong-Min Chu Ping Yeh-Chiang W. Czaja R. Leapman Micah Goldblum Tom Goldstein 32 34 0 25 Nov 2021