Stochastic Gradient Push for Distributed Deep Learning
Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"
Natural Environment Benchmarks for Reinforcement Learning
A set of neural network modules, which are small fully connected layers operating in semantic concept space. These modules are configured through a gating function conditioned on the task to produce features representing the compatibility between the input image and the concept under consideration.
A UNIVERSAL MUSIC TRANSLATION NETWORK - a method for translating music across musical instruments and styles.
Define an ML problem to train with Pytorch and to leverage Pytorch's functionality for multiprocessing and distributed compute.
Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
Code for "MultiGrain: a unified image embedding for classes and instances"
On the pitfalls of measuring emergent communication
Long-Term Feature Banks for Detailed Video Understanding
Learning Continuous Signed Distance Functions for Shape Representation
