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Neural Architecture Search

186 papers with code · Methodology
Subtask of AutoML

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MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

30 Apr 2020tensorflow/models

MobileDets also outperform MobileNetV2+SSDLite by 1. 9 mAP on mobile CPUs, 3. 7 mAP on EdgeTPUs and 3. 4 mAP on DSPs while running equally fast.

NEURAL ARCHITECTURE SEARCH OBJECT DETECTION

Searching for MobileNetV3

ICCV 2019 tensorflow/models

We achieve new state of the art results for mobile classification, detection and segmentation.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH OBJECT DETECTION SEMANTIC SEGMENTATION

Progressive Neural Architecture Search

ECCV 2018 tensorflow/models

We propose a new method for learning the structure of convolutional neural networks (CNNs) that is more efficient than recent state-of-the-art methods based on reinforcement learning and evolutionary algorithms.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

Learning Transferable Architectures for Scalable Image Recognition

CVPR 2018 tensorflow/models

In our experiments, we search for the best convolutional layer (or "cell") on the CIFAR-10 dataset and then apply this cell to the ImageNet dataset by stacking together more copies of this cell, each with their own parameters to design a convolutional architecture, named "NASNet architecture".

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

CVPR 2018 tensorflow/models

We present MorphNet, an approach to automate the design of neural network structures.

NEURAL ARCHITECTURE SEARCH

DARTS: Differentiable Architecture Search

ICLR 2019 google-research/google-research

This paper addresses the scalability challenge of architecture search by formulating the task in a differentiable manner.

IMAGE CLASSIFICATION LANGUAGE MODELLING NEURAL ARCHITECTURE SEARCH

Efficient Neural Architecture Search via Parameter Sharing

9 Feb 2018google-research/google-research

The controller is trained with policy gradient to select a subgraph that maximizes the expected reward on the validation set.

LANGUAGE MODELLING NEURAL ARCHITECTURE SEARCH

The Evolved Transformer

30 Jan 2019tensorflow/tensor2tensor

Recent works have highlighted the strength of the Transformer architecture on sequence tasks while, at the same time, neural architecture search (NAS) has begun to outperform human-designed models.

MACHINE TRANSLATION NEURAL ARCHITECTURE SEARCH

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

20 Mar 2016rhiever/tpot

As the field of data science continues to grow, there will be an ever-increasing demand for tools that make machine learning accessible to non-experts.

AUTOMATED FEATURE ENGINEERING HYPERPARAMETER OPTIMIZATION NEURAL ARCHITECTURE SEARCH

Auto-Keras: An Efficient Neural Architecture Search System

27 Jun 2018keras-team/autokeras

In this paper, we propose a novel framework enabling Bayesian optimization to guide the network morphism for efficient neural architecture search.

NEURAL ARCHITECTURE SEARCH