Katherine Metcalf

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Medical Records

Reinforcement Learning

Top Venues

Publications

Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. CoRR (2024)
Mudit Verma, Katherine Metcalf
Hindsight PRIORs for Reward Learning from Human Preferences. CoRR (2024)
Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina, Barry-John Theobald
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It's Complicated. AAAI (2024)
Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. CoRR (2024)
Mudit Verma, Katherine Metcalf
Hindsight PRIORs for Reward Learning from Human Preferences. ICLR (2024)
Zakaria Aldeneh, Masha Fedzechkina, Skyler Seto, Katherine Metcalf, Miguel Sarabia, Nicholas Apostoloff, Barry-John Theobald
On the Role of LIP Articulation in Visual Speech Perception. ICASSP (2023)
Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. CoRL (2023)
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
Large Language Models as Generalizable Policies for Embodied Tasks. CoRR (2023)
Zakaria Aldeneh, Masha Fedzechkina, Skyler Seto, Katherine Metcalf, Miguel Sarabia, Nicholas Apostoloff, Barry-John Theobald
Towards a Perceptual Model for Estimating the Quality of Visual Speech. CoRR (2022)
Mudit Verma, Katherine Metcalf
Symbol Guided Hindsight Priors for Reward Learning from Human Preferences. CoRR (2022)
Andrew Silva, Katherine Metcalf, Nicholas Apostoloff, Barry-John Theobald
FedEmbed: Personalized Private Federated Learning. CoRR (2022)
Katherine Metcalf, Miguel Sarabia, Barry-John Theobald
Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning. CoRR (2022)
Katherine Metcalf, David Leake
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations. IJCAI (2019)
Katherine Metcalf, Barry-John Theobald, Garrett Weinberg, Robert Lee, Ing-Marie Jonsson, Russ Webb, Nicholas Apostoloff
Mirroring to Build Trust in Digital Assistants. INTERSPEECH (2019)
Katherine Metcalf, Barry-John Theobald, Garrett Weinberg, Robert Lee, Ing-Marie Jonsson, Russ Webb, Nicholas Apostoloff
Mirroring to Build Trust in Digital Assistants. CoRR (2019)
Katherine Metcalf, Barry-John Theobald, Nicholas Apostoloff
Learning Sharing Behaviors with Arbitrary Numbers of Agents. AAMAS (2018)
Katherine Metcalf, David Leake
Embedded Word Representations for Rich Indexing: A Case Study for Medical Records. ICCBR (2018)
Katherine Metcalf, Barry-John Theobald, Nicholas Apostoloff
Learning Sharing Behaviors with Arbitrary Numbers of Agents. CoRR (2018)
Katherine Metcalf, David Leake
Modelling Unsupervised Event Segmentation: Learning Event Boundaries from Prediction Errors. CogSci (2017)
Katherine Metcalf, David B. Leake
A Computational Method for Extracting, Representing, and Predicting Social Closeness. ECAI (2016)
Katherine Metcalf, David Leake
Investigating Methods and Representations for Reasoning About Social Context and Relative Social Power. CONTEXT (2015)
Alan Buabuchachart, Nina Charness, Katherine Metcalf, Leora Morgenstern
Automated Methods for Extracting and Expanding Lists in Regulatory Text. DoCoPe@JURIX (2013)
Alan Buabuchachart, Katherine Metcalf, Nina Charness, Leora Morgenstern
Classification of Regulatory Paragraphs by Discourse Structure, Reference Structure, and Regulation Type. JURIX (2013)