TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

14 Mar 20162 code implementations

TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.

DIMENSIONALITY REDUCTION REGRESSION

Adversarial Machine Learning at Scale

4 Nov 20164 code implementations

Adversarial examples are malicious inputs designed to fool machine learning models.

Scikit-learn: Machine Learning in Python

2 Jan 20121 code implementation

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.

DIMENSIONALITY REDUCTION MODEL SELECTION REGRESSION

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

3 Dec 20152 code implementations

This paper describes both the API design and the system implementation of MXNet, and explains how embedding of both symbolic expression and tensor operation is handled in a unified fashion.

DIMENSIONALITY REDUCTION REGRESSION

Benchmarking Automatic Machine Learning Frameworks

17 Aug 20184 code implementations

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 REGRESSION

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

25 Aug 20178 code implementations

We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images of 70, 000 fashion products from 10 categories, with 7, 000 images per category.

Efficient and Robust Automated Machine Learning

NeurIPS 2015 1 code implementation

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

Neural Machine Translation by Jointly Learning to Align and Translate

1 Sep 201464 code implementations

Neural machine translation is a recently proposed approach to machine translation.

MACHINE TRANSLATION

Practical Black-Box Attacks against Machine Learning

8 Feb 20169 code implementations

Our attack strategy consists in training a local model to substitute for the target DNN, using inputs synthetically generated by an adversary and labeled by the target DNN.

REGRESSION