Dissertations, June 2021
A Model-Based Design Tool for 3D GUI Layout Design that Accommodates User Attributes
A Policy Agnostic Framework for Post Hoc Analysis of Organ Allocation Policies
Building a Conversational User Simulator Using Generative Adversarial Networks
Causal Representation Learning for Latent Space Optimization
Conditional Neural Processes and Semi-Supervised Learning
Continuity of Autoencoders, Unsupervised Anomaly Detection and Deep Atlases
Contrastive Self-Supervised Learning for Tabular Data
Controlling Hallucination while Generating Text from Structured Data
Depth Uncertainty Networks for Active Learning
Efficiently-Parametrised Approximate Posteriors in Pseudo-Point Approximations to Gaussian Processes
Exploration and Exploitation: From Bandits to Bayesian Optimisation
GPT-3 for Few-Shot Dialogue State Tracking
Improving Deep Ensembles for Better Deep Uncertainty Quantification
Interpretability for Conditional Average Treatment Effect Estimation
Knowledge Distillation for End-to-End Automatic Speech Recognition
Mitigating Gender Bias in Dialogue Generation
Probabilistic Model Compression
Advanced Machine Learning Module Posters, March 2021
Importance Weighted Autoencoder (IWAE)
Weight Uncertainty in Neural Networks