PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design

11 June 2019

Papers citing "PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design"

7 / 7 papers shown

Title
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services Hui Dou Shanshan Zhu Yiwen Zhang Pengfei Chen Zibin Zheng 9 0 0 20 Apr 2023
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 57 0 15 Jun 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 34 26 0 16 Dec 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 23 95 0 23 Nov 2021
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems Shubham Negi I. Chakraborty Aayush Ankit Kaushik Roy 25 6 0 23 Jun 2021
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning Sheng-Chun Kao Geonhwa Jeong T. Krishna 28 95 0 04 Sep 2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 21 4 0 21 Apr 2020