Pruning is a popular technique for compressing a neural network: a large pre-trained
network is fine-tuned while connections are successively removed. However, the value of …

Meta-learning or learning-to-learn involves automatically learning training-algorithms such
that models trained with such learnt algorithms can solve a number of tasks while …

Abstract Machine learning has proven extremely useful in many applications in recent years.
However, a lot of these success stories stem from evaluating the algorithms on data very …

Spatio-temporal reasoning has acquired traction in recent decades owing to its use in
diverse application domains. It is an aspect of reasoning that involves drawing logical …

In this coursework, we implement the convolutional and max pooling layers of a
convolutional neural network. We also explore different techniques for broadening the …