research
∙
07/31/2020
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision
Calibrated estimates of uncertainty are critical for many real-world com...
share
research
∙
08/27/2018
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks
Deep learning is known to be data-hungry, which hinders its application ...
research
∙
06/08/2017
Gated Orthogonal Recurrent Units: On Learning to Forget
We present a novel recurrent neural network (RNN) based model that combi...
research
∙
12/15/2016
