research
∙
09/05/2023
Explaining grokking through circuit efficiency
One of the most surprising puzzles in neural network generalisation is g...
share
research
∙
08/17/2022
Discovering Agents
Causal models of agents have been used to analyse the safety aspects of ...
research
∙
01/20/2022
Safe Deep RL in 3D Environments using Human Feedback
Agents should avoid unsafe behaviour during both training and deployment...
research
∙
03/26/2021
Alignment of Language Agents
For artificial intelligence to be beneficial to humans the behaviour of ...
research
∙
12/10/2020
Imitating Interactive Intelligence
A common vision from science fiction is that robots will one day inhabit...
research
∙
12/22/2019
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks
Evaluation of Bayesian deep learning (BDL) methods is challenging. We of...
research
∙
07/02/2019
Generalizing from a few environments in safety-critical reinforcement learning
Before deploying autonomous agents in the real world, we need to be conf...
research
∙
07/13/2018
DNN's Sharpest Directions Along the SGD Trajectory
Recent work has identified that using a high learning rate or a small ba...
research
∙
11/13/2017