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Architecture Search

61 papers with code · Methodology

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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.

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".

ARCHITECTURE SEARCH IMAGE CLASSIFICATION

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.

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.

ARCHITECTURE SEARCH MACHINE TRANSLATION

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.

ARCHITECTURE SEARCH AUTOML

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.

ARCHITECTURE SEARCH IMAGE CLASSIFICATION LANGUAGE MODELLING

Efficient Neural Architecture Search via Parameter Sharing

9 Feb 2018carpedm20/ENAS-pytorch

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

ARCHITECTURE SEARCH LANGUAGE MODELLING

Neural Architecture Search with Reinforcement Learning

5 Nov 2016carpedm20/ENAS-pytorch

Our cell achieves a test set perplexity of 62. 4 on the Penn Treebank, which is 3. 6 perplexity better than the previous state-of-the-art model.

ARCHITECTURE SEARCH IMAGE CLASSIFICATION LANGUAGE MODELLING

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.

ARCHITECTURE SEARCH IMAGE CLASSIFICATION TRANSFER LEARNING

Searching for MobileNetV3

6 May 2019rwightman/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

ARCHITECTURE SEARCH OBJECT DETECTION SEMANTIC SEGMENTATION