Presentations

This is a collection of slides from some of my presentations

Research papers

Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference: Presentation on a paper where the authors propose an activity recognition system that combines audio and visual input using bayeisan uncertainty estimates.
Size-Independent Sample Complexity of Neural Networks: Presentation on a paper where the authors propose a tighter bound on generarlization error or Neural Networks
Learning Depth from Single Monocular Images: Presentation on a paper from 2005 on estimating pixel-wise depth from single-view 2D images using a Probabilistic Graphical Model.
Bag of Tricks for Image Classification with Convolutional Neural Networks: Presentation on a paper that studies practical considerations for training deep neural networks.
Dropout as a Structured Shrinkage Prior: Presentation on a paper that explains dropout from a bayesian perspective.

Neural Networks for Image Processing: A 1 hour talk on the evolution of neural networks and their application to Computer Vision. (A list of short videos that inspired this talk)

A Neural Network based Chatbot: Project proposal
ARM Processors: On the history of ARM processors.
Memory Management in the Cloud: On the basics of cloud computing and dynamic partition management policies.
Introduction to scala: On the features of the scala programming language.
Hash tables: An introduction to the associative data structure.