Posters from the Advanced Machine Learning module (MLMI 4)
Auto-Encoding Variational Bayes
Non-negative Matrix Factorisation
Semi-Supervised Learning with Deep Generative Models
Variational Inference in Deep Directed Latent Variable Models
Dissertations, August 2016, and posters presented at the Industry Day on 09 June 2016
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