2017 - 2018 Course Highlights
Dissertations
Fairness in Machine Learning with Causal Reasoning
Spectral Methods in Gaussian Process Approximations * Poster
Fashion Products Identification Using Bayesian Latent Variable Models
Well-Calibrated Bayesian Neural Networks * Poster
Relation Classification Based on Deep Learning Approach * Poster
Augmenting Natural Language Generation with External Memory Modules in Spoken Dialogue Systems * Poster
Combining Sum Product Networks and Variational Autoencoders * Poster
Curiosity-Driven Reinforcement Learning for Dialogue Management * Poster Paper at ICASSP 2018 - 2019
Generative Adversarial Networks for Speech Recognition Data Augmentation * Poster
Manifold Hamiltonian Dynamics for Variational Auto-Encoders * Poster
Neural Network Compression * Poster
Automatic Chemical Design with Molecular Graph Variational Autoencoders
3D Human Motion Synthesis with Recurrent Gaussian Processes * Poster
Deeper Understanding of Autophagy and pseudo-Autophagy through Latent-Space Analysis
Contextual Reasoning in Scene Understanding (Poster)
Defending a Speech Recogniser against Adversarial Examples (Poster)
Overcoming Catastrophic Forgetting in Neural Machine Translation
Posters from the Advanced Machine Learning Module
Dropout as A Variational Approximation to Bayesian Neural Networks