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01/20/2023
Neural Architecture Search: Insights from 1000 Papers
In the past decade, advances in deep learning have resulted in breakthro...
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10/06/2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
Zero-cost proxies (ZC proxies) are a recent architecture performance pre...
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02/15/2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
The success of deep learning in recent years has lead to a rising demand...
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01/31/2022
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
The release of tabular benchmarks, such as NAS-Bench-101 and NAS-Bench-2...
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07/09/2021
Multi-headed Neural Ensemble Search
Ensembles of CNN models trained with different seeds (also known as Deep...
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07/08/2021
Bag of Tricks for Neural Architecture Search
While neural architecture search methods have been successful in previou...
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10/09/2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
In this paper, we propose an approach to neural architecture search (NAS...
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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...
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06/15/2020
Neural Ensemble Search for Performant and Calibrated Predictions
Ensembles of neural networks achieve superior performance compared to st...
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01/28/2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
One-shot neural architecture search (NAS) has played a crucial role in m...
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09/20/2019
Understanding and Robustifying Differentiable Architecture Search
Differentiable Architecture Search (DARTS) has attracted a lot of attent...
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05/17/2019
AutoDispNet: Improving Disparity Estimation with AutoML
Much research work in computer vision is being spent on optimizing exist...
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07/18/2018