TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Neural Architecture Search	CIFAR-10	AlphaX-1 (cutout NASNet)	Top-1 Error Rate	2.82%	# 10
Neural Architecture Search	CIFAR-10	AlphaX-1 (cutout NASNet)	Search Time (GPU days)	224	# 8
Neural Architecture Search	CIFAR-10 Image Classification	AlphaX-1 (cutout NASNet)	Params	3.59M	# 4
Neural Architecture Search	ImageNet	AlphaX-1	Top-1 Error Rate	24.5	# 28
Neural Architecture Search	ImageNet	AlphaX-1	Params	5.4M	# 13

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AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search

26 Mar 2019 • Linnan Wang • Yiyang Zhao • Yuu Jinnai • Yuandong Tian • Rodrigo Fonseca

Neural Architecture Search (NAS) has shown great success in automating the design of neural networks, but the prohibitive amount of computations behind current NAS methods requires further investigations in improving the sample efficiency and the network evaluation cost to get better results in a shorter time. In this paper, we present a novel scalable Monte Carlo Tree Search (MCTS) based NAS agent, named AlphaX, to tackle these two aspects... (read more)

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IMAGE CAPTIONING

NEURAL ARCHITECTURE SEARCH

OBJECT DETECTION

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Ranked #4 on Neural Architecture Search on CIFAR-10 Image Classification (Params metric)

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Neural Architecture Search	CIFAR-10	AlphaX-1 (cutout NASNet)	Top-1 Error Rate	2.82%	# 10	Compare
Neural Architecture Search	CIFAR-10	AlphaX-1 (cutout NASNet)	Search Time (GPU days)	224	# 8	Compare
Neural Architecture Search	CIFAR-10 Image Classification	AlphaX-1 (cutout NASNet)	Params	3.59M	# 4	Compare
Neural Architecture Search	ImageNet	AlphaX-1	Top-1 Error Rate	24.5	# 28	Compare
Neural Architecture Search	ImageNet	AlphaX-1	Params	5.4M	# 13	Compare

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Random Search	Hyperparameter Search

AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search

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