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"

8 / 8 papers shown

Title
Neuromorphic Bayesian Optimization in Lava Shay Snyder Sumedh R. Risbud Maryam Parsa 16 7 0 18 May 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services Hui Dou Shanshan Zhu Yiwen Zhang Pengfei Chen Zibin Zheng 50 1 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 83 61 0 15 Jun 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 126 27 0 16 Dec 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 72 103 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 34 6 0 23 Jun 2021
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning Sheng-Chun Kao Geonhwa Jeong T. Krishna 111 96 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 42 4 0 21 Apr 2020