research
∙
07/18/2023
An Evaluation of Zero-Cost Proxies – from Neural Architecture Performance to Model Robustness
Zero-cost proxies are nowadays frequently studied and used to search for...
share
research
∙
06/11/2023
Neural Architecture Design and Robustness: A Dataset
Deep learning models have proven to be successful in a wide range of mac...
research
∙
03/16/2022
Learning Where To Look – Generative NAS is Surprisingly Efficient
The efficient, automated search for well-performing neural architectures...
research
∙
08/12/2021
DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity
Differentiable architecture search (DARTS) is a widely researched tool f...
research
∙
10/19/2020
Neural Architecture Performance Prediction Using Graph Neural Networks
In computer vision research, the process of automating architecture engi...
research
∙
10/09/2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
In this paper, we propose an approach to neural architecture search (NAS...
research
∙
08/22/2020
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search
Neural Architecture Search (NAS) is a logical next step in the automatic...
research
∙
12/11/2019