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AdapterFusion: Non-Destructive Task Composition for Transfer Learning
v1v2v3 (latest)

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

1 May 2020
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
    CLLMoMe
ArXiv (abs)PDFHTML

Papers citing "AdapterFusion: Non-Destructive Task Composition for Transfer Learning"

3 / 553 papers shown
Title
Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic
  Conditional Random Fields
Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields
Jonas Pfeiffer
Edwin Simpson
Iryna Gurevych
67
5
0
01 May 2020
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
Jonas Pfeiffer
Ivan Vulić
Iryna Gurevych
Sebastian Ruder
180
631
0
30 Apr 2020
Survey on Publicly Available Sinhala Natural Language Processing Tools
  and Research
Survey on Publicly Available Sinhala Natural Language Processing Tools and Research
Nisansa de Silva
272
45
0
05 Jun 2019
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