NLP Wiki

User Tools

Site Tools

Trace: • learning_rate • state-space_models • patent_domain_nlp • writing_assistants • zero-shot_learning • gpu_deep_learning • miscellaneous_neural_networks • morphological_analysis • distribution_shift • grammatical_error_correction
ml:distribution_shift

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
ml:distribution_shift [2023/06/15 07:36] – external edit 127.0.0.1ml:distribution_shift [2023/07/26 18:59] (current) – jmflanig
Line 12: Line 12:
   * [[https://arxiv.org/pdf/2109.01558.pdf|Michel 2021 - Learning Neural Models for Natural Language Processing in the Face of Distributional Shift]] PhD thesis   * [[https://arxiv.org/pdf/2109.01558.pdf|Michel 2021 - Learning Neural Models for Natural Language Processing in the Face of Distributional Shift]] PhD thesis
   * [[https://arxiv.org/pdf/2204.06340.pdf|Michel 2022 - Distributionally Robust Models with Parametric Likelihood Ratios]]   * [[https://arxiv.org/pdf/2204.06340.pdf|Michel 2022 - Distributionally Robust Models with Parametric Likelihood Ratios]]
 +
 +===== Distribution Shift / Out-of-Domain Detection =====
 +  * **In NLP**
 +    * [[https://aclanthology.org/2023.acl-long.717.pdf|Uppaal et al 2023 - Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection]]
  
 ===== Datasets ===== ===== Datasets =====
ml/distribution_shift.1686814574.txt.gz · Last modified: 2023/06/15 07:36 by 127.0.0.1
Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki