Browse SoTA > Methodology > AutoML > Neural Architecture Search

Neural Architecture Search

224 papers with code · Methodology
Subtask of AutoML

Benchmarks

Greatest papers with code

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

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

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