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Magnificent Minified Models
We also compare a variation on the classic OBD method that slightly outperformed all other parameter and neuron selection methods in our tests with substantial pruning, which we call OBD-SD.
Catastrophic Forgetting in the Context of Model Updates
Especially when the amount of past data (past 'tasks') is large compared to new data, the cost of updating an existing model is far cheaper and faster than training a new model from scratch.
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content
Malicious web content is a serious problem on the Internet today.
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