ImageNet Classification with Deep Convolutional Neural Networks

ImageNet Classification with Deep Convolutional Neural Networks - Krizhevsky et al. 2012 Like the large-vocabulary speech recognition paper we looked at yesterday, today's paper has also been described as a landmark paper in the history of deep learning. It's also a surprisingly easy read! The ImageNet dataset contains over 15 million labeled high-resolution images of … Continue reading ImageNet Classification with Deep Convolutional Neural Networks

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition - Dahl et al. 2011 The title may be a bit of a mouthful, but this paper is often cited as a watershed moment for deep learning and speech recognition. It represents the first application of deep neural networks for large vocabulary speech recognition (LVSR), and … Continue reading Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

Scalable and private media consumption with Popcorn

Scalable and private media consumption with Popcorn - Gupta et al. 2016 What price can we put on privacy? For streaming media consumption (think Netflix) in which you have complete privacy concerning the media you are watching (i.e., not even the service provider knows - how is this even possible? We'll get to that...), it … Continue reading Scalable and private media consumption with Popcorn