research
∙
07/17/2020
Smart Choices and the Selection Monad
Describing systems in terms of choices and their resulting costs and rew...
share
research
∙
11/11/2019
A Simple Differentiable Programming Language
Automatic differentiation plays a prominent role in scientific computing...
research
∙
05/04/2018
Dynamic Control Flow in Large-Scale Machine Learning
Many recent machine learning models rely on fine-grained dynamic control...
research
∙
12/27/2017
Adversarial Patch
We present a method to create universal, robust, targeted adversarial im...
research
∙
08/26/2017
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches
The recent, remarkable growth of machine learning has led to intense int...
research
∙
11/28/2016
Learning a Natural Language Interface with Neural Programmer
Learning a natural language interface for database tables is a challengi...
research
∙
10/18/2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Some machine learning applications involve training data that is sensiti...
research
∙
07/01/2016
Deep Learning with Differential Privacy
Machine learning techniques based on neural networks are achieving remar...
research
∙
03/14/2016