Search Results for author: Hattie Zhou

Found 3 papers, 3 papers with code

LCA: Loss Change Allocation for Neural Network Training

2 code implementations NeurIPS 2019 Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski

We propose a new window into training called Loss Change Allocation (LCA), in which credit for changes to the network loss is conservatively partitioned to the parameters.

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

6 code implementations NeurIPS 2019 Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski

The recent "Lottery Ticket Hypothesis" paper by Frankle & Carbin showed that a simple approach to creating sparse networks (keeping the large weights) results in models that are trainable from scratch, but only when starting from the same initial weights.

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