Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior

5 October 2020

Papers citing "Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior"

8 / 8 papers shown

Title
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models Seungcheol Park Ho-Jin Choi U. Kang VLM 40 5 0 07 Aug 2023
Gradient-Free Structured Pruning with Unlabeled Data Azade Nova H. Dai Dale Schuurmans SyDa 40 20 0 07 Mar 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training Xiaoying Zhi Varun Babbar P. Sun Fran Silavong Ruibo Shi Sean J. Moran Sean Moran 47 1 0 17 Feb 2023
An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning Mohammad AkbarTajari S. Rajaee Mohammad Taher Pilehvar 11 2 0 01 Feb 2023
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression Runxin Xu Fuli Luo Chengyu Wang Baobao Chang Jun Huang Songfang Huang Fei Huang VLM 27 25 0 14 Dec 2021
Learned Token Pruning for Transformers Sehoon Kim Sheng Shen D. Thorsley A. Gholami Woosuk Kwon Joseph Hassoun Kurt Keutzer 17 146 0 02 Jul 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 233 576 0 12 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 299 6,984 0 20 Apr 2018