benchmark which compares 'meta-learning approaches to active learning' to 'traditional heuristic-based Active Learning'

39 views
Skip to first unread message

vincent...@orange.com

unread,
Apr 11, 2021, 1:21:14 PM4/11/21
to Active Learning (Machine Learning)

While the traditional AL strategies can achieve remarkable performance, it is often challenging to predict in advance which strategy is the most suitable in aparticular situation. In recent years, meta-learning algorithms have been gaining in popularity. Some of them have been proposed to tackle the problem of learning AL strategies instead of relying on manually designed strategies. We published a benchmark which compares 'meta-learning approaches to active learning' to 'traditional heuristic-based Active Learning' may give intuitions if 'Learning active learning' is at the crossroads , if you could be interested in ...


Desreumaux, Louis; Lemaire, Vincent (2020). "Learning Active Learning at the Crossroads? Evaluation and Discussion" (PDF) (Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases {(ECML} {PKDD} 2020), Ghent, Belgium, 2020).
Reply all
Reply to author
Forward
0 new messages