2015 - 2016 Course Highlights
Dissertations
The Generalised Gaussian Process Convolution Model Poster
Variable Length Word Encodings for Neural Translation Models Poster
Model Uncertainty for Adversarial Examples Using Dropouts
BachBot: Automatic Composition in the Style of Bach Chorales Poster
Integrated Predictive Entropy Search for Bayesian Optimization
One-shot Learning in Discriminative Neural Networks
ALTA Project - Spoken Language Assessment and Learning Improve Adaptation Performance of ASR to Non-Native Speakers Poster
Probabilistic Programming in Julia: New Inference Algorithms Poster
Active Learning for Historic Handwritten Text Recognition Poster
Extending Deep GPs: Novel Variational Inference Schemes and a GPU Implementation
Training Restricted Boltzmann Machines Using High-Temperature Expansions
Active Learning for High Dimensional Inputs using Bayesian Convolutional Neural Networks
Automatically Grading Learners’ English using a Deep Gaussian Process
Optimising spoken dialogue systems using Gaussian process reinforcement learning for a large action set Poster
Auto-Encoding with Stochastic Expectation Propagation in Latent Variable Models Poster
Sparse Circular Gaussian Process Approximation Insights and Applications Poster
Posters from the Advanced Machine Learning Module
Auto-Encoding Variational Bayes
Non-negative Matrix Factorisation
Semi-Supervised Learning with Deep Generative Models
Variational Inference in Deep Directed Latent Variable Models