7 citations · 7 across the 3 of their papers we have counts for
4 papers · 1 filter
Benchmarking and Enhancing Disentanglement in Concept-Residual Models
Renos Zabounidis, Ini Oguntola, Konghao Zhao +3
Concept bottleneck models (CBMs) are interpretable models that first predict a set of semantically meaningful features, i.e., concepts, from observations that are subsequently used…
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Ini Oguntola, Joseph Campbell, Simon Stepputtis +1
The ability to model the mental states of others is crucial to human social intelligence, and can offer similar benefits to artificial agents with respect to the social dynamics in…
Deep Interpretable Models of Theory of Mind
Ini Oguntola, Dana Hughes, Katia Sycara
When developing AI systems that interact with humans, it is essential to design both a system that can understand humans, and a system that humans can understand. Most deep network…
SlimNets: An Exploration of Deep Model Compression and Acceleration
Ini Oguntola, Subby Olubeko, Christopher Sweeney
Deep neural networks have achieved increasingly accurate results on a wide variety of complex tasks. However, much of this improvement is due to the growing use and availability of…