Rigging the Lottery: Making All Tickets Winners is a paper published at ICML 2020 with Utku Evci, Trevor Gale, Jacob Menick, and Erich Elsen, where we introduce an algorithm for training sparse neural networks that uses a fixed parameter count and computational cost throughout training, without sacrificing accuracy relative to existing dense-to-sparse training methods.

You can read more about it in the paper and in our blog post.