Clayton T. Morrison

Orcid: 0000-0002-3606-0078

According to our database1, Clayton T. Morrison authored at least 47 papers between 1998 and 2024.

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Bibliography

2024
3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology.
CoRR, 2024

2023
Neural Machine Translation for Code Generation.
CoRR, 2023

The ToMCAT Dataset.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Information Extraction from Legal Wills: How Well Does GPT-4 Do?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Texture Generation Using Graph Generative Adversarial Network And Differentiable Rendering.
CoRR, 2022

Learning Open Domain Multi-hop Search Using Reinforcement Learning.
CoRR, 2022

Texture Generation Using a Graph Generative Adversarial Network and Differentiable Rendering.
Proceedings of the Image and Vision Computing - 37th International Conference, 2022

Validity Assessment of Legal Will Statements as Natural Language Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Low Resource Causal Event Detection from Biomedical Literature.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

Neural Architectures for Biological Inter-Sentence Relation Extraction.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning.
CoRR, 2021

2020
Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

AutoMATES: Automated Model Assembly from Text, Equations, and Software.
CoRR, 2020

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
Meta-Learning Initializations for Image Segmentation.
CoRR, 2019

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images.
IEEE Trans. Geosci. Remote. Sens., 2018

Large-scale automated machine reading discovers new cancer-driving mechanisms.
Database J. Biol. Databases Curation, 2018

WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Inter-Sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
An Infinite Hidden Markov Model With Similarity-Biased Transitions.
Proceedings of the 34th International Conference on Machine Learning, 2017

Composition by Conversation.
Proceedings of the 2017 International Computer Music Conference, 2017

Learning what to read: Focused machine reading.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Bayesian Inference of Recursive Sequences of Group Activities from Tracks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Moderated and Drifting Linear Dynamical Systems.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2013
Human Computation as an Educational Opportunity.
Proceedings of the Handbook of Human Computation, 2013

Preface.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

2011
Computer science can use more science.
Commun. ACM, 2011

Towards Understanding How Humans Teach Robots.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Challenges to decoding the intention behind natural instruction.
Proceedings of the 20th IEEE International Symposium on Robot and Human Interactive Communication, 2011

Blending Autonomous Exploration and Apprenticeship Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Human Natural Instruction of a Simulated Electronic Student.
Proceedings of the Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011

2010
Intrinsically motivated information foraging.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

2008
AAAI Fall Symposium Reports.
AI Mag., 2008

2007
Learning and Transferring Action Schemas.
Proceedings of the IJCAI 2007, 2007

2006
Piagetian Adaptation Meets Image Schemas: The Jean System.
Proceedings of the From Animals to Animats 9, 2006

The Hats Simulator and Colab: An Integrated Information Fusion Challenge Problem and Collaborative Analysis Environment.
Proceedings of the Intelligence and Security Informatics, 2006

The Colab Mixed-Initiative Analysis Enviroment.
Proceedings of the 9th International Conference on Information Fusion, 2006

The Hats Information Fusion Challenge Problem.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Maps for Verbs: The Relation Between Interaction Dynamics and Verb Use.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004
The Hats Simulator.
Proceedings of the 36th conference on Winter simulation, 2004

2003
Agent models I: action models.
Proceedings of the 35th Winter Simulation Conference: Driving Innovation, 2003

Guided Incremental Construction of Belief Networks.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

A Knowledge Acquisition Tool for Course of Action Analysis.
Proceedings of the Fifteenth Conference on Innovative Applications of Artificial Intelligence, 2003

2000
Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999
Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
What It Means to Be "situated".
Cybern. Syst., 1998


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