Deterministic Algorithms Lab

In the last few years, the growth of Artificial Intelligence is exponential. One of the main reason for that is the availability of a huge…

In this lecture, we learn how to adapt the structure of outputs of a neural net to predict some tree structure over an input sequence.

Problem

Problem : We talked before about these special kind of computers in our network called, switches , that implement a set of rules deciding…

“Structured prediction” is used for prediction problems where the input is a sentence, and the label assigned to a sentence comes from a…

AIM :- “Uncertainty awareness” How uncertain we are about our predictions given the training data ? [Useful for active and reinforcement…

Why can initialization of parameters be considered a prior over the parameters ? ANS :-

Meta-Learning can also be viewed as learning how to adapt to different tasks. That is learning in what way exactly are the parameters(of a…