2016 - 2017 Course Highlights
Dissertations
Tradeoffs in Neural Variational Inference * Poster
Memory Networks for Language Modelling
Pathologies of Deep Sparse Gaussian Process Regression
Wasserstein Generative Adversarial Network
Hierarchical Dialogue Management * Poster
Bayesian Deep Generative Models for Semi-Supervised and Active Learning * Poster
Improved Interpretability and Generalisation for Deep Learning
Constrained Bayesian Optimization for Automatic Chemical Design * Poster
Designing Neural Network Hardware Accelerators Using Deep Gaussian Processes
Neural Program Lattices: Learning through Weak Supervision * Poster
Natural Language to Neural Programs
Bayesian Neural Networks for K-Shot Learning * Poster
Bayes By Backprop Neural Networks for Dialogue Management
Improving Sample Efficiency for Gradient-Based Policy Optimisation * Poster
Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces
Posters from the Advanced Machine Learning Module
Auto-Encoding Variational Bayes
Sequential Neural Models with Stochastic Layers
Stacked Convolutional Auto-encoders for Hierarchical Feature Extraction