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  • This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ...
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  • In the previous video on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ...
  • In the previous video, we've started measuring bias in word embeddings. In this video, we will attempt to remove some of this bias ...

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Instead of debugging a model, it might be *much* more effective to consider debugging your In this video we'll highlight the main points of the starspace paper. It's an influencial piece of work and here at How do you judge the quality of a virtual assistant? Can we look at the intent classification scores and call it a day? Or do we need ... When you

It turns out that you can drop a lot of weights from your neural network without seeing a drastic effect on accuracy. In this video ...

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