Katherine Metcalf

According to our database, Katherine Metcalf authored at least 17 papers between 2013 and 2024.

Collaborative distances:

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

2024

Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It's Complicated.

Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina, Barry-John Theobald

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Large Language Models as Generalizable Policies for Embodied Tasks.

Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev

CoRR, 2023

On the Role of LIP Articulation in Visual Speech Perception.

Zakaria Aldeneh, Masha Fedzechkina, Skyler Seto, Katherine Metcalf, Miguel Sarabia, Nicholas Apostoloff, Barry-John Theobald

Proceedings of the IEEE International Conference on Acoustics, 2023

Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards.

Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald

Proceedings of the Conference on Robot Learning, 2023

2022

Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning.

Katherine Metcalf, Miguel Sarabia, Barry-John Theobald

CoRR, 2022

Symbol Guided Hindsight Priors for Reward Learning from Human Preferences.

Mudit Verma, Katherine Metcalf

CoRR, 2022

Towards a Perceptual Model for Estimating the Quality of Visual Speech.

Zakaria Aldeneh, Masha Fedzechkina, Skyler Seto, Katherine Metcalf, Miguel Sarabia, Nicholas Apostoloff, Barry-John Theobald

CoRR, 2022

FedEmbed: Personalized Private Federated Learning.

Andrew Silva, Katherine Metcalf, Nicholas Apostoloff, Barry-John Theobald

CoRR, 2022

2019

Mirroring to Build Trust in Digital Assistants.

Katherine Metcalf, Barry-John Theobald, Garrett Weinberg, Robert Lee, Ing-Marie Jonsson, Russ Webb, Nicholas Apostoloff

Proceedings of the Interspeech 2019, 2019

Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations.

Katherine Metcalf, David Leake

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

2018

Embedded Word Representations for Rich Indexing: A Case Study for Medical Records.

Katherine Metcalf, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2018

Learning Sharing Behaviors with Arbitrary Numbers of Agents.

Katherine Metcalf, Barry-John Theobald, Nicholas Apostoloff

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Modelling Unsupervised Event Segmentation: Learning Event Boundaries from Prediction Errors.

Katherine Metcalf, David Leake

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

A Computational Method for Extracting, Representing, and Predicting Social Closeness.

Katherine Metcalf, David B. Leake

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Investigating Methods and Representations for Reasoning About Social Context and Relative Social Power.

Katherine Metcalf, David Leake

Proceedings of the Modeling and Using Context, 2015

2013

Classification of Regulatory Paragraphs by Discourse Structure, Reference Structure, and Regulation Type.

Alan Buabuchachart, Katherine Metcalf, Nina Charness, Leora Morgenstern

Proceedings of the Legal Knowledge and Information Systems, 2013

Automated Methods for Extracting and Expanding Lists in Regulatory Text.

Alan Buabuchachart, Nina Charness, Katherine Metcalf, Leora Morgenstern

Proceedings of the First JURIX Doctoral Consortium and Poster Sessions in conjunction with the 26th International Conference on Legal Knowledge and Information Systems, 2013