FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks

7 November 2018

Papers citing "FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks"

6 / 6 papers shown

Title
Kolmogorov-Arnold Fourier Networks Jusheng Zhang Yijia Fan Kaitong Cai Keze Wang 68 0 0 09 Feb 2025
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR Rami Botros Anmol Gulati Tara N. Sainath K. Choromanski Ruoming Pang Trevor Strohman Weiran Wang Jiahui Yu MQ 28 3 0 31 Mar 2023
Dirichlet Pruning for Neural Network Compression Kamil Adamczewski Mijung Park 27 3 0 10 Nov 2020
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 38 447 0 26 Sep 2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks Raphael Tang Yao Lu Linqing Liu Lili Mou Olga Vechtomova Jimmy J. Lin 32 417 0 28 Mar 2019
Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks Amir H. Ashouri T. Abdelrahman Alwyn Dos Remedios MQ 16 12 0 10 Nov 2018