2016-2017 Course Highlights

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
• Importance Weighted Autoencoders
• Semi-Supervised Learning with Deep Generative Models

Dissertations and Posters presented at the Industry Day on 19 June 2017

• Tradeoffs in Neural Variational Inference (Poster)
• Hierarchical Dialogue Management (Poster)
• NPL- Learning through Weak Supervision (Poster)
• Bayesian Semisupervised Learning with Deep Generative Models (Poster)
• Semi-Supervised Bayesian Optimisation for Automatic Chemical Design (Poster)
• Structured Priors for Policy Optimisation (Poster)
• Bayesian Neural Networks for K-Shot Learning (Poster)