Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess

1 code implementation • NeurIPS 2021 • Gregory Clark

This paper introduces deep synoptic Monte Carlo planning (DSMCP) for large imperfect information games.

Deep Synoptic Monte-Carlo Planning in Reconnaissance Blind Chess

no code implementations • NeurIPS 2021 • Gregory Clark

This paper introduces deep synoptic Monte Carlo planning (DSMCP) for large imperfect information games.

Characterising Bias in Compressed Models

no code implementations • 6 Oct 2020 • Sara Hooker, Nyalleng Moorosi, Gregory Clark, Samy Bengio, Emily Denton

However, overall accuracy hides disproportionately high errors on a small subset of examples; we call this subset Compression Identified Exemplars (CIE).

Fairness Quantization

What Do Compressed Deep Neural Networks Forget?

2 code implementations • 13 Nov 2019 • Sara Hooker, Aaron Courville, Gregory Clark, Yann Dauphin, Andrea Frome

However, this measure of performance conceals significant differences in how different classes and images are impacted by model compression techniques.

Fairness Interpretability Techniques for Deep Learning +4