ml:active_learning

Table of Contents

Active Learning

Active Learning

Overviews

Papers

Core-Set: Sener & Savarese 2017- Active Learning for Convolutional Neural Networks: A Core-Set Approach
In-Domain Diversity Sampling: Tsvigun et al 2022 - Active Learning for Abstractive Text Summarization
Margatina & Aletras 2023 - On the Limitations of Simulating Active Learning

Related Papers

Swayamdipta et al 2020 - Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Related Work

Curriculum Learning

ml/active_learning.txt · Last modified: 2025/08/28 05:08 by jmflanig