A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models

11 October 2022

Zheng Lin

Jie Zhou

Papers citing "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models"

5 / 5 papers shown

Title
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding Ukyo Honda Tatsushi Oka Peinan Zhang Masato Mita 36 1 0 17 Jun 2024
Robust Natural Language Understanding with Residual Attention Debiasing Fei Wang James Y. Huang Tianyi Yan Wenxuan Zhou Muhao Chen 29 10 0 28 May 2023
Task-Specific Skill Localization in Fine-tuned Language Models A. Panigrahi Nikunj Saunshi Haoyu Zhao Sanjeev Arora MoMe 21 66 0 13 Feb 2023
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers Dachuan Shi Chaofan Tao Ying Jin Zhendong Yang Chun Yuan Jiaqi Wang VLM ViT 18 38 0 31 Jan 2023
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 148 345 0 23 Jul 2020