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AutoML

24 papers with code · Methodology

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Greatest papers with code

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

Benchmarking Automatic Machine Learning Frameworks

17 Aug 2018EpistasisLab/tpot

AutoML serves as the bridge between varying levels of expertise when designing machine learning systems and expedites the data science process.

AUTOMATED FEATURE ENGINEERING HYPERPARAMETER OPTIMIZATION

Layered TPOT: Speeding up Tree-based Pipeline Optimization

18 Jan 2018EpistasisLab/tpot

With the demand for machine learning increasing, so does the demand for tools which make it easier to use.

AUTOMATED FEATURE ENGINEERING HYPERPARAMETER OPTIMIZATION

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

Efficient and Robust Automated Machine Learning

NeurIPS 2015 automl/auto-sklearn

The success of machine learning in a broad range of applications has led to an ever-growing demand for machine learning systems that can be used off the shelf by non-experts.

HYPERPARAMETER OPTIMIZATION

MixConv: Mixed Depthwise Convolutional Kernels

22 Jul 2019tensorflow/tpu

In this paper, we systematically study the impact of different kernel sizes, and observe that combining the benefits of multiple kernel sizes can lead to better accuracy and efficiency.

AUTOML IMAGE CLASSIFICATION OBJECT DETECTION

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

Google Vizier: A Service for Black-Box Optimization

ACM (2017) 2017 tobegit3hub/advisor

Any sufficiently complex system acts as a black box when it becomes easier to experiment with than to understand.

HYPERPARAMETER OPTIMIZATION TRANSFER LEARNING