Search Results for author:
Found 4 papers, 1 papers with code
SqueezeNAS: Fast neural architecture search for faster semantic segmentation
For real time applications utilizing Deep Neural Networks (DNNs), it is critical that the models achieve high-accuracy on the target task and low-latency inference on the target computing platform.
Ranked #61 on
Semantic Segmentation
on Cityscapes val
(using extra training data)
Parallel Belief Revision
This paper describes a formal system of belief revision developed by Wolfgang Spohn and shows that this system has a parallel implementation that can be derived from an influence diagram in a manner similar to that in which Bayesian networks are derived.
Uncertain Reasoning Using Maximum Entropy Inference
It is argued that maximum entropy is a dynamic theory and that a complete theory of uncertain reasoning can be gotten by combining maximum entropy inference with probability theory, which is a static theory.
Dempster-Shafer vs. Probabilistic Logic
The combination of evidence in Dempster-Shafer theory is compared with the combination of evidence in probabilistic logic.
