Methods > General > Neural Architecture Search

Neural Architecture Search

Introduced by Zoph et al. in Learning Transferable Architectures for Scalable Image Recognition

Neural Architecture Search (NAS) learns a modular architecture which can be transferred from a small dataset to a large dataset. The method does this by reducing the problem of learning best convolutional architectures to the problem of learning a small convolutional cell. The cell can then be stacked in series to handle larger images and more complex datasets.

Note that this refers to the original method referred to as NAS - there is also a broader category of methods called "neural architecture search".

Source: Learning Transferable Architectures for Scalable Image Recognition

Latest Papers

PAPER DATE
Boarding House Renting Price Prediction Using Deep Neural Network Regression on Mobile Apps
| Malik Abdul AzizFahmi NurrahimPrastyo Eko SusantoYurio Windiatmoko
2020-12-31
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
| Golnaz GhiasiYin CuiAravind SrinivasRui QianTsung-Yi LinEkin D. CubukQuoc V. LeBarret Zoph
2020-12-13
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
| Dilin WangMeng LiChengyue GongVikas Chandra
2020-11-18
Automated Concatenation of Embeddings for Structured Prediction
| Xinyu WangYong JiangNguyen BachTao WangZhongqiang HuangFei HuangKewei Tu
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NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
| Zhichao LuKalyanmoy DebErik GoodmanWolfgang BanzhafVishnu Naresh Boddeti
2020-07-20
Fine-Tuning DARTS for Image Classification
Muhammad Suhaib TanveerMuhammad Umar Karim KhanChong-Min Kyung
2020-06-16
Rethinking Pre-training and Self-training
| Barret ZophGolnaz GhiasiTsung-Yi LinYin CuiHanxiao LiuEkin D. CubukQuoc V. Le
2020-06-11
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
| Xianzhi DuTsung-Yi LinPengchong JinGolnaz GhiasiMingxing TanYin CuiQuoc V. LeXiaodan Song
2019-12-10
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices
| Bo ChenGolnaz GhiasiHanxiao LiuTsung-Yi LinDmitry KalenichenkoHartwig AdamsQuoc V. Le
2019-12-02
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
| Wei-cheng KuoAnelia AngelovaJitendra MalikTsung-Yi Lin
2019-04-05
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
| Zhichao LuIan WhalenVishnu BoddetiYashesh DhebarKalyanmoy DebErik GoodmanWolfgang Banzhaf
2018-10-08
Simple And Efficient Architecture Search for Convolutional Neural Networks
| Thomas ElskenJan-Hendrik MetzenFrank Hutter
2017-11-13
Learning Transferable Architectures for Scalable Image Recognition
| Barret ZophVijay VasudevanJonathon ShlensQuoc V. Le
2017-07-21

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