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2007.11752
Cited By

Joslim: Joint Widths and Weights Optimization for Slimmable Neural
Networks

v1v2v3v4 (latest)

Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks

23 July 2020

Diana Marculescu

ArXiv (abs)PDF HTML Github (12★)

Papers citing "Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks"

4 / 4 papers shown

TIPS: Topologically Important Path Sampling for Anytime Neural Networks

TIPS: Topologically Important Path Sampling for Anytime Neural NetworksInternational Conference on Machine Learning (ICML), 2023

Kartikeya Bhardwaj

333

0

0

13 May 2023

All-in-One: A Highly Representative DNN Pruning Framework for Edge
Devices with Dynamic Power Management

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management

Caiwen Ding

210

9

0

09 Dec 2022

Multi-Objective Hyperparameter Optimization in Machine Learning -- An
Overview

Multi-Objective Hyperparameter Optimization in Machine Learning -- An OverviewACM Transactions on Evolutionary Learning and Optimization (TELO), 2022

Julia Moosbauer

Florian Pfisterer

...

Eduardo C. Garrido-Merchán

435

99

0

15 Jun 2022

Dynamic ConvNets on Tiny Devices via Nested Sparsity

Dynamic ConvNets on Tiny Devices via Nested SparsityIEEE Internet of Things Journal (IEEE IoT J.), 2022

Matteo Grimaldi

358

8

0

07 Mar 2022

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