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Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of
  Tabular NAS Benchmarks

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks

22 August 2020
Arber Zela
Julien N. Siems
Lucas Zimmer
Jovita Lukasik
M. Keuper
Frank Hutter
ArXivPDFHTML

Papers citing "Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks"

13 / 13 papers shown
Title
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
Filippo Betello
Antonio Purificato
Vittoria Vineis
Gabriele Tolomei
Fabrizio Silvestri
30
0
0
02 May 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Bingye Zhou
Caiyang Yu
DiffM
51
0
0
24 Apr 2025
Transferrable Surrogates in Expressive Neural Architecture Search Spaces
Transferrable Surrogates in Expressive Neural Architecture Search Spaces
Shiwen Qin
Gabriela Kadlecová
Martin Pilát
Shay B. Cohen
Roman Neruda
Elliot J. Crowley
Jovita Lukasik
Linus Ericsson
AI4CE
40
0
0
17 Apr 2025
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Jacob O. Tørring
Carl Hvarfner
Luigi Nardi
Magnus Sjalander
41
0
0
24 Jun 2024
OmniPred: Language Models as Universal Regressors
OmniPred: Language Models as Universal Regressors
Xingyou Song
Oscar Li
Chansoo Lee
Bangding Yang
Daiyi Peng
Sagi Perel
Yutian Chen
27
14
0
22 Feb 2024
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong
Weidong Cao
Muhan Zhang
Dacheng Tao
Yixin Chen
Xuan Zhang
GNN
19
30
0
31 Aug 2023
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile
  Edge Platforms
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms
Shikhar Tuli
N. Jha
21
3
0
24 Mar 2023
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
Xuan Rao
Bo Zhao
Xiaosong Yi
63
4
0
11 Nov 2022
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
626
0
21 Apr 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
181
907
0
02 Mar 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
72
146
0
28 Jan 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
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