152 citations · 161 across the 3 of their papers we have counts for
3 papers
cs.SE2024★ 9 cited
An Industrial Experience Report about Challenges from Continuous Monitoring, Improvement, and Deployment for Autonomous Driving Features
Ali Nouri, Christian Berger, Fredrik Torner
Using continuous development, deployment, and monitoring (CDDM) to understand and improve applications in a customer's context is widely used for non-safety applications such as sm…
cs.LG2019
Training CNNs faster with Dynamic Input and Kernel Downsampling
Zissis Poulos, Ali Nouri, Andreas Moshovos
We reduce training time in convolutional networks (CNNs) with a method that, for some of the mini-batches: a) scales down the resolution of input images via downsampling, and b) re…
cs.LG2012★ 152 cited
A Bayesian Sampling Approach to Exploration in Reinforcement Learning
John Asmuth, Lihong Li, Michael L. Littman +2
We present a modular approach to reinforcement learning that uses a Bayesian representation of the uncertainty over models. The approach, BOSS (Best of Sampled Set), drives explora…