DiSparse: Disentangled Sparsification for Multitask Model Compression

DiSparse: Disentangled Sparsification for Multitask Model Compression

9 June 2022

Gao Huang

Papers citing "DiSparse: Disentangled Sparsification for Multitask Model Compression"

5 / 5 papers shown

Title
Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun Maying Shen Hongxu Yin Lei Mao Pavlo Molchanov Jose M. Alvarez 46 1 0 05 Feb 2025
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model Mingcan Xiang Steven Jiaxun Tang Qizheng Yang Hui Guan Tongping Liu VLM 34 0 0 07 Aug 2024
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion Yi Sun Xin Xu Jian Li Guanglei Xie Yifei Shi Qiang Fang CLL MoMe 24 1 0 12 Dec 2023
Towards Compute-Optimal Transfer Learning Massimo Caccia Alexandre Galashov Arthur Douillard Amal Rannen-Triki Dushyant Rao Michela Paganini Laurent Charlin MarcÁurelio Ranzato Razvan Pascanu 8 3 0 25 Apr 2023
Deep Elastic Networks with Model Selection for Multi-Task Learning Chanho Ahn Eunwoo Kim Songhwai Oh 49 49 0 11 Sep 2019