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Graphs Neural Networks in NLP

Graphs Neural Networks in NLP

Capturing the beautiful semantic, syntactic, temporal and relational structure between words (through GNNs)
Go to the profile of Purvanshi Mehta
Purvanshi Mehta
Are you indulging in a toxic conversation?

Are you indulging in a toxic conversation?

As with every other story nowadays, ours also begins with the COVID-19 quarantine. This project is a result of bored, but motivated AI…
Go to the profile of Kumar Shridhar
Kumar Shridhar
Bayesian Neural Network Series Post 2.5: Why the world needs a Bayesian perspective?

Bayesian Neural Network Series Post 2.5: Why the world needs a Baye...

This post is a part of the series Bayesian Neural Networks (Check Post1 and Post 2) that covers some history of Bayesian-ism and why we…
Go to the profile of Kumar Shridhar
Kumar Shridhar
Bayesian Neural Network Series Post 2: Background Knowledge

Bayesian Neural Network Series Post 2: Background Knowledge

This post is the second post in an eight-post series of Bayesian Convolutional Networks. The posts will be structured as follows:
Go to the profile of Kumar Shridhar
Kumar Shridhar
Bayesian Neural Network Series Post 1: Need for Bayesian Networks

Bayesian Neural Network Series Post 1: Need for Bayesian Networks

This post is the first post in an eight-post series of Bayesian Convolutional Networks. The posts will be structured as follows:
Go to the profile of Kumar Shridhar
Kumar Shridhar
Bayesian Convolutional Neural Networks with Bayes by Backprop

Bayesian Convolutional Neural Networks with Bayes by Backprop

So far, we have elaborated how Bayes by Backprop works on a simple feedforward neural network. In this post, I will explain how you can…
Go to the profile of Felix Laumann
Felix Laumann
How Bayesian methods embody Occam’s razor

How Bayesian methods embody Occam’s razor

Some of you might have heard the term Occam’s razor, sometimes spelled Ockham’s razor, together with Bayesian methods. It is indeed a…
Go to the profile of Felix Laumann
Felix Laumann
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