One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation

30 November 2019

Papers citing "One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation"

8 / 8 papers shown

Title
Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance Suryam Arnav Kalra Arindam Biswas Pabitra Mitra Biswajit Basu GNN 46 0 0 17 Mar 2024
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 57 1 0 17 Feb 2023
One-shot Network Pruning at Initialization with Discriminative Image Patches Yinan Yang Yu Wang Yi Ji Heng Qi Jien Kato VLM 34 4 0 13 Sep 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu Xi Peng Erik Cambria M. Aly Jie Lin MQ 52 59 0 23 May 2022
A Survey on Model Compression and Acceleration for Pretrained Language Models Canwen Xu Julian McAuley 23 58 0 15 Feb 2022
Spectral Pruning for Recurrent Neural Networks Takashi Furuya Kazuma Suetake K. Taniguchi Hiroyuki Kusumoto Ryuji Saiin Tomohiro Daimon 27 4 0 23 May 2021
Sparse Training Theory for Scalable and Efficient Agents Decebal Constantin Mocanu Elena Mocanu T. Pinto Selima Curci Phuong H. Nguyen M. Gibescu D. Ernst Z. Vale 45 17 0 02 Mar 2021
Exploring Weight Importance and Hessian Bias in Model Pruning Mingchen Li Yahya Sattar Christos Thrampoulidis Samet Oymak 30 3 0 19 Jun 2020