Neural Architecture Performance Prediction Using Graph Neural Networks

19 October 2020

Papers citing "Neural Architecture Performance Prediction Using Graph Neural Networks"

9 / 9 papers shown

Title
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 53 14 0 22 Feb 2024
Accuracy Prediction for NAS Acceleration using Feature Selection and Extrapolation Tal Hakim 25 0 0 22 Nov 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 30 41 0 03 Jun 2022
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 29 78 0 25 Oct 2021
FLASH: Fast Neural Architecture Search with Hardware Optimization Guihong Li Sumit K. Mandal Ümit Y. Ogras R. Marculescu 27 20 0 01 Aug 2021
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search Jovita Lukasik David Friede Arber Zela Frank Hutter M. Keuper 26 19 0 09 Oct 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 88 147 0 28 Jan 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016