To Tune or Not To Tune? How About the Best of Both Worlds?

9 July 2019

Papers citing "To Tune or Not To Tune? How About the Best of Both Worlds?"

6 / 6 papers shown

Title
Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain W. A. Abro Annalena Aicher Niklas Rach Stefan Ultes Wolfgang Minker Guilin Qi 23 32 0 03 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 22 69 0 25 Feb 2021
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology Yangjun Zhang Pengjie Ren Maarten de Rijke 16 11 0 21 Aug 2020
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer Siddhant Garg Rohit Kumar Sharma Yingyu Liang 20 4 0 10 Apr 2020
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks S. Rothe Shashi Narayan Aliaksei Severyn SILM 63 433 0 29 Jul 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 297 6,950 0 20 Apr 2018