Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Daniel Cunnington

Daniel Cunnington
Alert button

Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation


Feb 07, 2023
Jack Furby, Daniel Cunnington, Dave Braines, Alun Preece

Add code
Alert button

Figure 1 for Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation
Figure 2 for Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation
Figure 3 for Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation
Figure 4 for Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation
* Accepted into the AAAI-23 workshop Representation Learning for Responsible Human-Centric AI (R2HCAI) as a 4 page paper. This version also includes an additional 47 pages for the appendix and contains additional figures and tables 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Inductive Learning of Complex Knowledge from Raw Data


May 25, 2022
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo

Add code
Alert button

Figure 1 for Inductive Learning of Complex Knowledge from Raw Data
Figure 2 for Inductive Learning of Complex Knowledge from Raw Data
Figure 3 for Inductive Learning of Complex Knowledge from Raw Data
Figure 4 for Inductive Learning of Complex Knowledge from Raw Data

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

FF-NSL: Feed-Forward Neural-Symbolic Learner


Jul 02, 2021
Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo

Add code
Alert button

Figure 1 for FF-NSL: Feed-Forward Neural-Symbolic Learner
Figure 2 for FF-NSL: Feed-Forward Neural-Symbolic Learner
Figure 3 for FF-NSL: Feed-Forward Neural-Symbolic Learner
Figure 4 for FF-NSL: Feed-Forward Neural-Symbolic Learner
* Pre-print, work in progress 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

NSL: Hybrid Interpretable Learning From Noisy Raw Data


Dec 09, 2020
Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance Kaplan

Add code
Alert button

Figure 1 for NSL: Hybrid Interpretable Learning From Noisy Raw Data
Figure 2 for NSL: Hybrid Interpretable Learning From Noisy Raw Data
Figure 3 for NSL: Hybrid Interpretable Learning From Noisy Raw Data

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Synthetic Ground Truth Generation for Evaluating Generative Policy Models


Apr 26, 2019
Daniel Cunnington, Graham White, Geeth de Mel

Add code
Alert button

Figure 1 for Synthetic Ground Truth Generation for Evaluating Generative Policy Models
Figure 2 for Synthetic Ground Truth Generation for Evaluating Generative Policy Models
Figure 3 for Synthetic Ground Truth Generation for Evaluating Generative Policy Models
Figure 4 for Synthetic Ground Truth Generation for Evaluating Generative Policy Models

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email