Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160
Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160  
Podcast: The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Published On: Mon Jul 02 2018
Description: In this episode, I'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University to discuss two of her recent papers, “Noisin: Unbiased Regularization for Recurrent Neural Networks” and “TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency.” We dive into the details behind both of these papers and learn a ton along the way.