ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.01483
  4. Cited By
Blockwise Compression of Transformer-based Models without Retraining

Blockwise Compression of Transformer-based Models without Retraining

4 April 2023
Gaochen Dong
W. Chen
ArXivPDFHTML

Papers citing "Blockwise Compression of Transformer-based Models without Retraining"

4 / 4 papers shown
Title
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language
  Models
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Iman Mirzadeh
Keivan Alizadeh-Vahid
Sachin Mehta
C. C. D. Mundo
Oncel Tuzel
Golnoosh Samei
Mohammad Rastegari
Mehrdad Farajtabar
120
60
0
06 Oct 2023
I-BERT: Integer-only BERT Quantization
I-BERT: Integer-only BERT Quantization
Sehoon Kim
A. Gholami
Z. Yao
Michael W. Mahoney
Kurt Keutzer
MQ
96
341
0
05 Jan 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
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
227
575
0
12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
6,956
0
20 Apr 2018
1