2018 - 2019 Course Highlights
Dissertations
Fact-Checking Fake News Poster
Probabilistic Bellman Consistency in Reinforcement Learning Poster
Compression without Quantization Poster
Disentangling Sources of Uncertainty for Active Exploration Poster
Distributed Variational Inference and Privacy Poster
Extending and Applying the Gaussian Process Autoregressive Regression Model Poster
Understanding Uncertainty in Bayesian Neural Networks Poster
Investigating Inference in Bayesian Neural Networks via Active Learning
Interpretable Machine Learning Poster
Combining Diverse Neural Network Language Models for Speech Recognition
Uncertainty and Confidence Scores in Sequence Data (poster)
Conditional Neural Processes for Semi-Supervised Learning (poster)
Posters from the Advanced Machine Learning Module
Variational Continual Learning in Deep Discriminative Models
Uncertainty in Bayesian Neural Networks
Weight Uncertainty in Neural Networks