====== Active Learning ======

===== Overviews =====
  * [[https://minds.wisconsin.edu/bitstream/handle/1793/60660/TR1648.pdf?sequence=1|Settles 2009 - Active Learning Literature Survey]]
  * [[https://arxiv.org/pdf/2203.13450.pdf|Zhan et al 2022 - A Comparative Survey of Deep Active Learning]]
  * [[https://arxiv.org/pdf/2302.08893.pdf|Cacciarelli & Kulahci 2023 - Active Learning for Data Streams: A Survey]]
  * [[https://spj.science.org/doi/10.34133/icomputing.0058|Wan et al 2023 - A Survey of Deep Active Learning for Foundation Models]]
  * **In NLP**
    * [[https://arxiv.org/pdf/2210.10109|Zhang et al 2022 - A Survey of Active Learning for Natural Language Processing]]


===== Papers =====
  * Core-Set: [[https://arxiv.org/pdf/1708.00489.pdf|Sener & Savarese 2017- Active Learning for Convolutional Neural Networks: A Core-Set Approach]]
  * In-Domain Diversity Sampling: [[https://arxiv.org/pdf/2301.03252.pdf|Tsvigun et al 2022 - Active Learning for Abstractive Text Summarization]]
  * [[https://aclanthology.org/2023.findings-acl.269.pdf|Margatina & Aletras 2023 - On the Limitations of Simulating Active Learning]]

=== Related Papers ===
  * [[https://aclanthology.org/2020.emnlp-main.746.pdf|Swayamdipta et al 2020 - Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics]]

===== Related Work =====
  * [[Curriculum Learning]]