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Found 3 papers, 2 papers with code
Natural Gradient Variational Inference with Gaussian Mixture Models
Bayesian methods estimate a measure of uncertainty by using the posterior distribution.
Learning Representations for Predicting Future Activities
Foreseeing the future is one of the key factors of intelligence.
On the effectiveness of task granularity for transfer learning
We describe a DNN for video classification and captioning, trained end-to-end, with shared features, to solve tasks at different levels of granularity, exploring the link between granularity in a source task and the quality of learned features for transfer learning.
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