88 citations · 134 across the 3 of their papers we have counts for
3 papers
cs.AI2021
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess
Gregory Clark
This paper introduces deep synoptic Monte Carlo planning (DSMCP) for large imperfect information games. The algorithm constructs a belief state with an unweighted particle filter a…
cs.LG2020★ 46 cited
Characterising Bias in Compressed Models
Sara Hooker, Nyalleng Moorosi, Gregory Clark +2
The popularity and widespread use of pruning and quantization is driven by the severe resource constraints of deploying deep neural networks to environments with strict latency, me…
cs.LG2019★ 88 cited
What Do Compressed Deep Neural Networks Forget?
Sara Hooker, Aaron Courville, Gregory Clark +2
Deep neural network pruning and quantization techniques have demonstrated it is possible to achieve high levels of compression with surprisingly little degradation to test set accu…