The rapid progress in machine learning in recent years has been based on...
Recent years witnessed the development of powerful generative models bas...
We study the training dynamics of shallow neural networks, investigating...
Let (x_i, y_i)_i=1,…,n denote independent samples from a general
mixture...
Decentralized learning provides an effective framework to train machine
...
A wide range of applications require learning image generation models wh...
Spectral analysis is a powerful tool, decomposing any function into simp...
A major obstacle to achieving global convergence in distributed and fede...
In this paper, we propose a learning algorithm that enables a model to
q...
Allowing effective inference of latent vectors while training GANs can
g...
In this work, we propose a modeling technique for jointly training image...