18 citations · 54 across the 24 of their papers we have counts for
3 papers · 2 filters
Generalizing to New Tasks via One-Shot Compositional Subgoals
Xihan Bian, Oscar Mendez, Simon Hadfield
The ability to generalize to previously unseen tasks with little to no supervision is a key challenge in modern machine learning research. It is also a cornerstone of a future "Gen…
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning
Bian Xihan, Oscar Mendez, Simon Hadfield
In this work, we introduce a new perspective for learning transferable content in multi-task imitation learning. Humans are able to transfer skills and knowledge. If we can cycle t…
Medusa: Universal Feature Learning via Attentional Multitasking
Jaime Spencer, Richard Bowden, Simon Hadfield
Recent approaches to multi-task learning (MTL) have focused on modelling connections between tasks at the decoder level. This leads to a tight coupling between tasks, which need re…