Pruning Deep Neural Networks from a Sparsity Perspective

11 February 2023

Papers citing "Pruning Deep Neural Networks from a Sparsity Perspective"

21 / 21 papers shown

Title
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity Keyao Zhan Puheng Li Lei Wu MoMe 79 0 0 13 Mar 2025
i-WiViG: Interpretable Window Vision GNN Ivica Obadic D. Kangin Dario Augusto Borges Oliveira Plamen Angelov Xiao Xiang Zhu 59 0 0 11 Mar 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing Qi Le Enmao Diao Ziyan Wang Xinran Wang Jie Ding Li Yang Ali Anwar 71 1 0 24 Feb 2025
Information Consistent Pruning: How to Efficiently Search for Sparse Networks? Soheil Gharatappeh S. Y. Sekeh 54 0 0 28 Jan 2025
COMIX: Compositional Explanations using Prototypes S. Sivaprasad D. Kangin Plamen Angelov Mario Fritz 139 0 0 10 Jan 2025
ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation Liang Zhao Shenglin Geng Xiongyan Tang Ammar Hawbani Yunhe Sun Lexi Xu Daniele Tarchi 28 0 0 12 Nov 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models Ji Liu Jiaxiang Ren Ruoming Jin Zijie Zhang Yang Zhou P. Valduriez Dejing Dou FedML 31 1 0 30 Sep 2024
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation Qi Le Enmao Diao Xinran Wang Vahid Tarokh Jie Ding Ali Anwar FedML 34 1 0 08 Sep 2024
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs Kiran Purohit Anurag Parvathgari Sourangshu Bhattacharya VLM 33 0 0 22 Aug 2024
Confident magnitude-based neural network pruning Joaquin Alvarez 37 0 0 08 Aug 2024
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models Peijie Dong Lujun Li Zhenheng Tang Xiang Liu Xinglin Pan Qiang-qiang Wang Xiaowen Chu 58 23 0 05 Jun 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 26 0 0 24 Apr 2024
ColA: Collaborative Adaptation with Gradient Learning Enmao Diao Qi Le Suya Wu Xinran Wang Ali Anwar Jie Ding Vahid Tarokh 27 1 0 22 Apr 2024
Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning Utku Mert Topcuoglu Erdem Akagündüz 40 1 0 02 Dec 2023
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer Gyeongdo Ham Seonghak Kim Suin Lee Jae-Hyeok Lee Daeshik Kim 19 5 0 24 Nov 2023
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective Ganghua Wang Xun Xian Jayanth Srinivasa Ashish Kundu Xuan Bi Mingyi Hong Jie Ding 31 2 0 16 Oct 2023
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization Geng Li G. Wang Jie Ding 26 3 0 07 May 2023
DASS: Differentiable Architecture Search for Sparse neural networks H. Mousavi Mohammad Loni Mina Alibeigi Masoud Daneshtalab 33 9 0 14 Jul 2022
Federated Learning Challenges and Opportunities: An Outlook Jie Ding Eric W. Tramel Anit Kumar Sahu Shuang Wu Salman Avestimehr Tao Zhang FedML 33 55 0 01 Feb 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 383 0 05 Mar 2020