matk

3 ms·

1. 1.▲
   Variational Lossy Autoencoder(arxiv.org)

   46 points by matk 10y ago|1 comments
2. 2.▲
   by matk 10y ago

   AUC is robust to class imbalance. It can be understood as follows: given an instance of the positive class and an instance of the negative class, it measures the probability of your learned model being able to distinguish between the two.
3. 3.▲
   Using Fast Weights to Attend to the Recent Past(arxiv.org)

   1 points by matk 10y ago|0 comments
4. 4.▲
   by matk 10y ago

   I agree. These are very marginal computation costs. This might have the most value as a Node transport though.
5. 5.▲
   by matk 10y ago

   lol, yeah; ML seems to be an area where people like making new terms a lot.
6. 6.▲
   Cleverhans: A library for benchmarking vulnerability to adversarial examples(github.com)

   2 points by matk 10y ago|0 comments
7. 7.▲
   by matk 10y ago

   So, the influx is due to a plethora of things, which are not all mutually exclusive: 1) The Internet has indeed produced large data sets which allowed statistical AI approaches to flourish opposed to logical AI approaches. 2) Somewhat bette
8. 8.▲
   by matk 10y ago

   I appreciate the sentiment of your comment, but, what part of a neural net isn't interpretable? Indeed, they do require more careful examination compared to traditional learning techniques. You can examine the receptive field of each n