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Neural Architecture Search

72 papers with code · Methodology
Subtask of AutoML

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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.

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

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

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

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

30 Apr 2019tensorflow/adanet

AdaNet is a lightweight TensorFlow-based (Abadi et al., 2015) framework for automatically learning high-quality ensembles with minimal expert intervention.

NEURAL ARCHITECTURE SEARCH

DARTS: Differentiable Architecture Search

ICLR 2019 quark0/darts

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

IMAGE CLASSIFICATION LANGUAGE MODELLING NEURAL ARCHITECTURE SEARCH

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

ECCV 2018 NervanaSystems/distiller

Model compression is a critical technique to efficiently deploy neural network models on mobile devices which have limited computation resources and tight power budgets.

MODEL COMPRESSION NEURAL ARCHITECTURE SEARCH

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

ICML 2019 tensorflow/tpu

Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available.

 SOTA for Image Classification on CIFAR-100 (using extra training data)

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH TRANSFER LEARNING