Clayton T. Morrison

According to our database, Clayton T. Morrison authored at least 48 papers between 1998 and 2024.

Collaborative distances:

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

2024

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

K. C. Dharma, Clayton T. Morrison

CoRR, 2024

When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context.

Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Neural Machine Translation for Code Generation.

K. C. Dharma, Clayton T. Morrison

CoRR, 2023

The ToMCAT Dataset.

Adarsh Pyarelal, Eric Duong, Caleb Shibu, Paulo Soares, Savannah Boyd, Payal Khosla, Valeria A. Pfeifer, Diheng Zhang, Eric Andrews, Rick Champlin, Vincent Raymond, Meghavarshini Krishnaswamy, Clayton T. Morrison, Emily Butler, Kobus Barnard

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?

Alice Saebom Kwak, Cheonkam Jeong, Gaetano Forte, Derek E. Bambauer, Clayton T. Morrison, Mihai Surdeanu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Texture Generation Using Graph Generative Adversarial Network And Differentiable Rendering.

Dharma Raj KC, Clayton T. Morrison, Bradley Walls

CoRR, 2022

Learning Open Domain Multi-hop Search Using Reinforcement Learning.

Enrique Noriega-Atala, Mihai Surdeanu, Clayton T. Morrison

CoRR, 2022

Texture Generation Using a Graph Generative Adversarial Network and Differentiable Rendering.

K. C. Dharma, Clayton T. Morrison, Bradley Walls

Proceedings of the Image and Vision Computing - 37th International Conference, 2022

Validity Assessment of Legal Will Statements as Natural Language Inference.

Alice Saebom Kwak, Jacob O. Israelsen, Clayton T. Morrison, Derek E. Bambauer, Mihai Surdeanu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Low Resource Causal Event Detection from Biomedical Literature.

Zhengzhong Liang, Enrique Noriega-Atala, Clayton T. Morrison, Mihai Surdeanu

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

Neural Architectures for Biological Inter-Sentence Relation Extraction.

Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu

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.

Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison

CoRR, 2021

2020

Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts.

Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Sean M. Hendryx, Clayton T. Morrison

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

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

Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison

CoRR, 2020

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions.

Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Meta-Learning Initializations for Image Segmentation.

Sean M. Hendryx, Andrew B. Leach, Paul Douglas Hein, Clayton T. Morrison

CoRR, 2019

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.

Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu

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.

Rodrigo Savage, Leon F. Palafox, Clayton T. Morrison, Jeffrey J. Rodríguez, Kobus Barnard, Shane Byrne, Christopher W. Hamilton

IEEE Trans. Geosci. Remote. Sens., 2018

Large-scale automated machine reading discovers new cancer-driving mechanisms.

Marco Antonio Valenzuela-Escárcega, Özgün Babur, Gus Hahn-Powell, Dane Bell, Thomas Hicks, Enrique Noriega-Atala, Xia Wang, Mihai Surdeanu, Emek Demir, Clayton T. Morrison

Database J. Biol. Databases Curation, 2018

WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference.

Peter A. Jansen, Elizabeth Wainwright, Steven Marmorstein, Clayton T. Morrison

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.

Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Clayton Thomas Morrison

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

An Infinite Hidden Markov Model With Similarity-Biased Transitions.

Colin R. Dawson, Chaofan Huang, Clayton T. Morrison

Proceedings of the 34th International Conference on Machine Learning, 2017

Composition by Conversation.

Donya Quick, Clayton T. Morrison

Proceedings of the 2017 International Computer Music Conference, 2017

Learning what to read: Focused machine reading.

Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Bayesian Inference of Recursive Sequences of Group Activities from Tracks.

Ernesto Brau, Colin Reimer Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Moderated and Drifting Linear Dynamical Systems.

Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton T. Morrison, Emily Butler, Kobus Barnard

Proceedings of the 32nd International Conference on Machine Learning, 2015

2013

Human Computation as an Educational Opportunity.

Carole R. Beal, Clayton T. Morrison, Juan C. Villegas

Proceedings of the Handbook of Human Computation, 2013

Preface.

Marc Pickett, Benjamin Kuipers, Yann LeCun, Clayton T. Morrison

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

2011

Computer science can use more science.

Clayton T. Morrison, Richard T. Snodgrass

Commun. ACM, 2011

Towards Understanding How Humans Teach Robots.

Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Ian R. Fasel, Thomas J. Walsh, Paul R. Cohen

Proceedings of the User Modeling, Adaption and Personalization, 2011

Challenges to decoding the intention behind natural instruction.

Raquel Torres Peralta, Tasneem Kaochar, Ian R. Fasel, Clayton T. Morrison, Thomas J. Walsh, Paul R. Cohen

Proceedings of the 20th IEEE International Symposium on Robot and Human Interactive Communication, 2011

Blending Autonomous Exploration and Apprenticeship Learning.

Thomas J. Walsh, Daniel Hewlett, Clayton T. Morrison

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.

Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Thomas J. Walsh, Ian R. Fasel, Sumin Beyon, Anh Tran, Jeremy B. Wright, Paul R. Cohen

Proceedings of the Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011

2010

Intrinsically motivated information foraging.

Ian R. Fasel, Andrew Wilt, Nassim Mafi, Clayton T. Morrison

Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

2008

AAAI Fall Symposium Reports.

Jerry T. Ball, Chris Arney, Samuel G. Collins, Mitchell Marcus, Sergei Nirenburg, Antonio Chella, Kai Goebel, Jason H. Li, Margaret Lyell, Brian Magerko, Riccardo Manzotti, Clayton T. Morrison, Tim Oates, Mark O. Riedl, Goran Trajkovski, Walt Truszkowski, N. Serdar Uckun

AI Mag., 2008

2007

Learning and Transferring Action Schemas.

Paul R. Cohen, Yu-Han Chang, Clayton T. Morrison, Carole R. Beal

Proceedings of the IJCAI 2007, 2007

2006

Piagetian Adaptation Meets Image Schemas: The Jean System.

Yu-Han Chang, Paul R. Cohen, Clayton T. Morrison, Robert St. Amant, Carole R. Beal

Proceedings of the From Animals to Animats 9, 2006

The Hats Simulator and Colab: An Integrated Information Fusion Challenge Problem and Collaborative Analysis Environment.

Clayton T. Morrison, Paul R. Cohen

Proceedings of the Intelligence and Security Informatics, 2006

The Colab Mixed-Initiative Analysis Enviroment.

Clayton T. Morrison, Paul R. Cohen

Proceedings of the 9th International Conference on Information Fusion, 2006

The Hats Information Fusion Challenge Problem.

Clayton T. Morrison, Paul R. Cohen

Proceedings of the 9th International Conference on Information Fusion, 2006

2005

Maps for Verbs: The Relation Between Interaction Dynamics and Verb Use.

Paul R. Cohen, Clayton T. Morrison, Erin Cannon

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.

Paul R. Cohen, Clayton T. Morrison

Proceedings of the 36th conference on Winter simulation, 2004

2003

Agent models I: action models.

Gary W. King, Clayton T. Morrison, Paul R. Cohen

Proceedings of the 35th Winter Simulation Conference: Driving Innovation, 2003

Guided Incremental Construction of Belief Networks.

Charles A. Sutton, Brendan Burns, Clayton T. Morrison, Paul R. Cohen

Proceedings of the Advances in Intelligent Data Analysis V, 2003

A Knowledge Acquisition Tool for Course of Action Analysis.

Kim Barker, Jim Blythe, Gary C. Borchardt, Vinay K. Chaudhri, Peter Clark, Paul R. Cohen, Julie Fitzgerald, Kenneth D. Forbus, Yolanda Gil, Boris Katz, Jihie Kim, Gary W. King, Sunil Mishra, Clayton T. Morrison, Kenneth S. Murray, Charley Otstott, Bruce W. Porter, Robert Schrag, Tomás E. Uribe, Jeffrey M. Usher, Peter Z. Yeh

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.

Joseph Y. Lo, Walker H. Land, Clayton T. Morrison

Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999

Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis.

Joseph Y. Lo, Walker H. Land, Clayton T. Morrison

Proceedings of the International Joint Conference Neural Networks, 1999

1998

What It Means to Be "situated".

Lewis A. Loren, Eric Dietrich, Clayton T. Morrison, Jonathan Beskin

Cybern. Syst., 1998