John Winder

According to our database, John Winder authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Neural Networks Using Residual Fitting.

Noah Ford, John Winder, Josh McClellan

CoRR, 2023

2021

A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning.

Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning.

Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek

CoRR, 2020

Planning with Abstract Learned Models While Learning Transferable Subtasks.

John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours.

Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang, John Winder

Artif. Intell. Medicine, 2019

The Expected-Length Model of Options.

David Abel, John Winder, Marie desJardins, Michael L. Littman

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Concept-Aware Feature Extraction for Knowledge Transfer in Reinforcement Learning.

John Winder, Marie desJardins

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Feature Construction for Controlling Swarms by Visual Demonstration.

Karan K. Budhraja, John Winder, Tim Oates

ACM Trans. Auton. Adapt. Syst., 2017

Planning with Abstract Markov Decision Processes.

Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L. S. Wong

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016

A Framework for Anomaly Reasoning: Interpretation through Concept Formation for Knowledge Transfer and Lifelong Learning.

John Winder

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes.

Nicholay Topin, Nicholas Haltmeyer, Shawn Squire, John Winder, Marie desJardins, James MacGlashan

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015