SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language
Models through Principled Regularized Optimization

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

8 November 2019

Xiaodong Liu

Papers citing "SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization"

4 / 104 papers shown

Title
XGPT: Cross-modal Generative Pre-Training for Image Captioning Qiaolin Xia Haoyang Huang Nan Duan Dongdong Zhang Lei Ji Zhifang Sui Edward Cui Taroon Bharti Xin Liu Ming Zhou MLLM VLM 25 74 0 03 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 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 6,959 0 20 Apr 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 264 1,275 0 06 Mar 2017