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ml:active_learning [2024/03/08 20:48] – [Overviews] jmflanigml:active_learning [2025/08/28 05:08] (current) – [Overviews] jmflanig
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   * [[https://arxiv.org/pdf/2302.08893.pdf|Cacciarelli & Kulahci 2023 - Active Learning for Data Streams: A Survey]]   * [[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]]   * [[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]]
  
  
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   * Core-Set: [[https://arxiv.org/pdf/1708.00489.pdf|Sener & Savarese 2017- Active Learning for Convolutional Neural Networks: A Core-Set Approach]]   * 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]]   * 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 ===== ===== Related Work =====
 +  * [[Curriculum Learning]]
  
ml/active_learning.1709930924.txt.gz · Last modified: 2024/03/08 20:48 by jmflanig

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