John Winder - RankMe

16 papers A* 6B 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. NeurIPS Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar
2024	J	`jnl`	Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. CoRR Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar
2024	B	`conf`	Generative Artificial Intelligence for Behavioral Intent Prediction. CogSci Willa Mannering, Noah Ford, Justin J. Harsono, John Winder
2024	J	`jnl`	Uncovering Uncertainty in Transformer Inference. CoRR Greyson Brothers, Willa Mannering, Amber Tien, John Winder
2023	J	`jnl`	Adaptive Neural Networks Using Residual Fitting. CoRR Noah Ford, John Winder, Joshua McClellan
2021	—	`conf`	A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning. NeurIPS Datasets and Benchmarks Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek
2020	A*	`conf`	Planning with Abstract Learned Models While Learning Transferable Subtasks. AAAI John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek
2020	J	`jnl`	Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning. CoRR Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek
2019	J	`jnl`	Planning with Abstract Learned Models While Learning Transferable Subtasks. CoRR John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek
2019	J	`jnl`	Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours. Artif. Intell. Medicine Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang, John Winder
2019	A*	`conf`	The Expected-Length Model of Options. IJCAI David Abel, John Winder, Marie desJardins, Michael L. Littman
2018	—	`conf`	Concept-Aware Feature Extraction for Knowledge Transfer in Reinforcement Learning. AAAI Workshops John Winder, Marie desJardins
2017	J	`jnl`	Feature Construction for Controlling Swarms by Visual Demonstration. ACM Trans. Auton. Adapt. Syst. Karan K. Budhraja, John Winder, Tim Oates
2017	A*	`conf`	Planning with Abstract Markov Decision Processes. ICAPS Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L. S. Wong
2016	A*	`conf`	A Framework for Anomaly Reasoning: Interpretation through Concept Formation for Knowledge Transfer and Lifelong Learning. IJCAI John Winder
2015	A*	`conf`	Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes. IJCAI Nicholay Topin, Nicholas Haltmeyer, Shawn Squire, John Winder, Marie desJardins, James MacGlashan