Learning On-Air Hand Gestures from Wi-Fi Signals on Smartphones
NLP Approaches to Campaign Classification
1) Thrillington: lessons learned from replicating a recurrent model of visual attention
2) A comparative study of neural network architectures for segmentation: finding syllables in birdsong
Deep Learning Architectures with Azure
Galaxy Morphology Predictions Using Capsule Networks
Large-scale automated deep neural network training framework for robust inference of neural population dynamics
Neural Ordinary Differential Equations
Inferring single-trial neural population dynamics using sequential auto-encoders
Visual Analytics in Deep Learning: Highlights from An Interrogative Survey
Adversarial Training for Sequential Data
From A/B testing to Markov and Bayes
Complementary Segmentation – En Route towards “Quasi-Perfect” Segmentation
Semantic Deep Learning of Underwater Ecology
Memory-Augmented Neural Networks
Generative Adversarial Networks
The Vanishing Gradient Problem and Its Solutions
