Adversarial Attacks and Defense for CNN
The project explores CNN classification models and their vulnerability to various adversarial attacks. Also explores a defence mechanism for it.
Neural Machine Translation
A mini-project that looks at the task of neural machine translation using sequential models and attention mechanism.
Exploring Personalized Image Captioning
This project explores personalization of generating image captions. We explore different architecture choices of Attend2u and also analyze personalization of the captions.
Word2Mat: A New Word Representation
This project explores a novel embedding technique for words into matrices instead of vectors. We explore this novel embedding method and how it could improve contextual sense.