Neural Architecture Search

392 papers with code • 19 benchmarks • 25 datasets

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Greatest papers with code

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

tensorflow/models CVPR 2020

We propose SpineNet, a backbone with scale-permuted intermediate features and cross-scale connections that is learned on an object detection task by Neural Architecture Search.

General Classification Image Classification +4

Searching for MobileNetV3

tensorflow/models ICCV 2019

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

Ranked #57 on Semantic Segmentation on Cityscapes test (using extra training data)

Image Classification Neural Architecture Search +2

Progressive Neural Architecture Search

tensorflow/models ECCV 2018

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.

General Classification Image Classification +1

Learning Transferable Architectures for Scalable Image Recognition

tensorflow/models CVPR 2018

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

MoViNets: Mobile Video Networks for Efficient Video Recognition

tensorflow/models CVPR 2021

We present Mobile Video Networks (MoViNets), a family of computation and memory efficient video networks that can operate on streaming video for online inference.

Action Classification Action Recognition +2

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

tensorflow/models CVPR 2021

By incorporating regular convolutions in the search space and directly optimizing the network architectures for object detection, we obtain a family of object detection models, MobileDets, that achieve state-of-the-art results across mobile accelerators.

Neural Architecture Search Object Detection

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

tensorflow/models CVPR 2019

Therefore, we propose to search the network level structure in addition to the cell level structure, which forms a hierarchical architecture search space.

Image Classification Neural Architecture Search +1

Neural Architecture Search with Reinforcement Learning

tensorflow/models 5 Nov 2016

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.

Image Classification Language Modelling +2

Optimal Subarchitecture Extraction For BERT

huggingface/transformers 20 Oct 2020

We extract an optimal subset of architectural parameters for the BERT architecture from Devlin et al. (2018) by applying recent breakthroughs in algorithms for neural architecture search.

Natural Language Understanding Neural Architecture Search