Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey

16 August 2023

Papers citing "Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey"

8 / 8 papers shown

Title
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks Zixuan Ke Hu Xu Bing-Quan Liu CLL 211 81 0 06 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke Bing-Quan Liu Nianzu Ma Hu Xu Lei Shu CLL 165 121 0 05 Dec 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
Multi-Task Learning in Natural Language Processing: An Overview Shijie Chen Yu Zhang Qiang Yang AIMat 34 98 0 19 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 391 2,216 0 03 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 283 4,143 0 23 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018