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Neural Architecture Search

89 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.

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

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

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 2018jhfjhfj1/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

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 Stanford Cars (using extra training data)

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH TRANSFER LEARNING

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

CVPR 2019 tensorflow/tpu

Here we aim to learn a better architecture of feature pyramid network for object detection.

#9 best model for Real-Time Object Detection on COCO (MAP metric)

NEURAL ARCHITECTURE SEARCH REAL-TIME OBJECT DETECTION

MnasNet: Platform-Aware Neural Architecture Search for Mobile

CVPR 2019 tensorflow/tpu

In this paper, we propose an automated mobile neural architecture search (MNAS) approach, which explicitly incorporate model latency into the main objective so that the search can identify a model that achieves a good trade-off between accuracy and latency.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH OBJECT DETECTION