Murray Campbell

According to our database, Murray Campbell authored at least 71 papers between 1981 and 2024.

Collaborative distances:

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

2024

The Importance of Positional Encoding Initialization in Transformers for Relational Reasoning.

Takuya Ito, Luca Cocchi, Tim Klinger, Parikshit Ram, Murray Campbell, Luke J. Hearne

CoRR, 2024

On the generalization capacity of neural networks during generic multimodal reasoning.

Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell

Proceedings of the Twelfth International Conference on Learning Representations, 2024

EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning.

Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions.

Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan

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

2022

AI Planning Annotation for Sample Efficient Reinforcement Learning.

Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro

CoRR, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

CoRR, 2022

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization.

Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments.

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Thinking Fast and Slow in AI: The Role of Metacognition.

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract).

Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, Wei Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Effects of Communication Directionality and AI Agent Differences in Human-AI Interaction.

Zahra Ashktorab, Casey Dugan, James Johnson, Qian Pan, Wei Zhang, Sadhana Kumaravel, Murray Campbell

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.

Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations.

Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning.

Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines.

Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Human-AI Collaboration in a Cooperative Game Setting: Measuring Social Perception and Outcomes.

Zahra Ashktorab, Q. Vera Liao, Casey Dugan, James Johnson, Qian Pan, Wei Zhang, Sadhana Kumaravel, Murray Campbell

Proc. ACM Hum. Comput. Interact., 2020

Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning.

Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel

CoRR, 2020

Continual learning with direction-constrained optimization.

Yunfei Teng, Anna Choromanska, Murray Campbell

CoRR, 2020

Deriving Commonsense Inference Tasks from Interactive Fictions.

Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell

CoRR, 2020

A Study of Compositional Generalization in Neural Models.

Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew Riemer, Alex 'Sandy' Pentland, Murray Campbell

CoRR, 2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.

Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu

CoRR, 2020

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning.

Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Mental Models of AI Agents in a Cooperative Game Setting.

Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, Wei Zhang

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Learning Hierarchical Teaching Policies for Cooperative Agents.

Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Teaching AI agents ethical values using reinforcement learning and policy orchestration.

Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi

IBM J. Res. Dev., 2019

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning.

Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

CoRR, 2019

Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning.

Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How

CoRR, 2019

TED: Teaching AI to Explain its Decisions.

Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering.

Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Learning to Teach in Cooperative Multiagent Reinforcement Learning.

Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Hybrid Reinforcement Learning with Expert State Sequences.

Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration.

Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi

CoRR, 2018

Teaching Meaningful Explanations.

Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

CoRR, 2018

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering.

Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell

Proceedings of the 6th International Conference on Learning Representations, 2018

Eigenoption Discovery through the Deep Successor Representation.

Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

The Eigenoption-Critic Framework.

Miao Liu, Marlos C. Machado, Gerald Tesauro, Murray Campbell

CoRR, 2017

Local-to-Global Bayesian Network Structure Learning.

Tian Gao, Kshitij P. Fadnis, Murray Campbell

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

Learning to Query, Reason, and Answer Questions On Ambiguous Texts.

Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh

Proceedings of the 5th International Conference on Learning Representations, 2017

UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS.

Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Cognitive Assistance in Government and Public Sector Applications.

Chuck Howell, Frank Stein, Scott Kordella, Lashon B. Booker, Ed Rockower, Hamid Motahari, Murray Campbell, Jim Spohrer

Künstliche Intell., 2016

I-athlon: Towards A Multidimensional Turing Test.

Sam S. Adams, Guruduth Banavar, Murray Campbell

AI Mag., 2016

2011

Information technology for healthcare transformation.

Joseph P. Bigus, Murray Campbell, Boaz Carmeli, Melissa Cefkin, Henry Chang, Ching-Hua Chen-Ritzo, William F. Cody, Shahram Ebadollahi, Alexandre V. Evfimievski, Ariel Farkash, Susanne Glissmann, David Gotz, Tyrone Grandison, Daniel Gruhl, Peter J. Haas, Mark J. H. Hsiao, Pei-Yun Sabrina Hsueh, Jianying Hu, Joseph M. Jasinski, James H. Kaufman, Cheryl A. Kieliszewski, Martin S. Kohn, Sarah E. Knoop, Paul P. Maglio, Ronald L. Mak, Haim Nelken, Chalapathy Neti, Hani Neuvirth, Yue Pan, Yardena Peres, Sreeram Ramakrishnan, Michal Rosen-Zvi, Sondra R. Renly, Pat Selinger, Amnon Shabo, Robert Sorrentino, Jimeng Sun, Tanveer Fathima Syeda-Mahmood, Wang Chiew Tan, Ying Y. Y. Tao, Reza Yaesoubi, Xinxin Zhu

IBM J. Res. Dev., 2011

2009

Hybrid Tagging and Browsing Approaches for Efficient Manual Image Annotation.

Rong Yan, Apostol Natsev, Murray Campbell

IEEE Multim., 2009

An Electroacoustically Controlled Vibrating Plate.

Mark Kahrs, David Skulina, Stefan Bilbao, Murray Campbell

Proceedings of the 9th International Conference on New Interfaces for Musical Expression, 2009

Formal Models and Hybrid Approaches for Efficient Manual Image Annotation and Retrieval.

Rong Yan, Apostol Natsev, Murray Campbell

Proceedings of the Semantic Mining Technologies for Multimedia Databases., 2009

2008

Event Mining in Multimedia Streams.

Lexing Xie, Hari Sundaram, Murray Campbell

Proc. IEEE, 2008

Event detection in sensor networks for modern oil fields.

Matthew L. Hill, Murray Campbell, Yuan-Chi Chang, Vijay S. Iyengar

Proceedings of the Second International Conference on Distributed Event-Based Systems, 2008

A learning-based hybrid tagging and browsing approach for efficient manual image annotation.

Rong Yan, Apostol Natsev, Murray Campbell

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Multi-query interactive image and video retrieval -: theory and practice.

Rong Yan, Apostol Natsev, Murray Campbell

Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

2007

IBM Research TRECVID-2007 Video Retrieval System.

Murray Campbell, Alexander Haubold, Ming Liu, Apostol Natsev, John R. Smith, Jelena Tesic, Lexing Xie, Rong Yan, Jun Yang

Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

An efficient manual image annotation approach based on tagging and browsing.

Rong Yan, Apostol Natsev, Murray Campbell

Proceedings of the 1st ACM Workshop on The Many Faces of Multimedia Semantics, 2007

2006

IBM Research TRECVID-2006 Video Retrieval System.

Murray Campbell, Alexander Haubold, Shahram Ebadollahi, Dhiraj Joshi, Milind R. Naphade, Apostol Natsev, Joachim Seidl, John R. Smith, Katya Scheinberg, Jelena Tesic, Lexing Xie

Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

2005

Algorithms for rapid outbreak detection: a research synthesis.

David L. Buckeridge, Howard S. Burkom, Murray Campbell, William R. Hogan, Andrew W. Moore

J. Biomed. Informatics, 2005

IBM Research TRECVID-2005 Video Retrieval System.

Arnon Amir, Janne Argillander, Murray Campbell, Alexander Haubold, Giridharan Iyengar, Shahram Ebadollahi, Feng Kang, Milind R. Naphade, Apostol Natsev, John R. Smith, Jelena Tesic, Timo Volkmer

Proceedings of the 2005 TREC Video Retrieval Evaluation, 2005

2003

Epi-SPIRE: a system for environmental and public health activity monitoring.

Chung-Sheng Li, Charu C. Aggarwal, Murray Campbell, Yuan-Chi Chang, Gregory Glass, Vijay S. Iyengar, Mahesh Joshi, Ching-Yung Lin, Milind R. Naphade, John R. Smith, Belle L. Tseng, Min Wang, Kun-Lung Wu, Philip S. Yu

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002

Deep Blue.

Murray Campbell, A. Joseph Hoane Jr., Feng-Hsiung Hsu

Artif. Intell., 2002

2001

Evaluating multiple attribute items using queries.

Vijay S. Iyengar, Jon Lee, Murray Campbell

Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

1999

Knowledge Discovery in Deep Blue.

Murray Campbell

Commun. ACM, 1999

1995

Deep Blue System Overview.

Feng-Hsiung Hsu, Murray Campbell, A. Joseph Hoane Jr.

Proceedings of the 9th international conference on Supercomputing, 1995

1991

Reviews.

Murray Campbell

J. Int. Comput. Games Assoc., 1991

1990

Measuring the Performance Potential of Chess Programs.

Hans J. Berliner, Gordon Goetsch, Murray Campbell, Carl Ebeling

Artif. Intell., 1990

Singular Extensions: Adding Selectivity to Brute-Force Searching.

Thomas S. Anantharaman, Murray Campbell, Feng-Hsiung Hsu

Artif. Intell., 1990

1989

The Sixth World Computer-Chess Championship. New Directions in Game-Tree Search.

Murray Campbell

J. Int. Comput. Games Assoc., 1989

1988

Report on the 1988 Fredkin Masters Open.

Murray Campbell, Feng-Hsiung Hsu, Gordon Goetsch

J. Int. Comput. Games Assoc., 1988

1985

The graph-history interaction: on ignoring position history.

Murray Campbell

Proceedings of the 1985 ACM annual conference on The range of computing: mid-80's perspective: mid-80's perspective, 1985

1984

Using Chunking to Solve Chess Pawn Endgames.

Hans J. Berliner, Murray Campbell

Artif. Intell., 1984

1983

A Comparison of Minimax Tree Search Algorithms.

Murray Campbell, T. Anthony Marsland

Artif. Intell., 1983

A Chess Program That Chunks.

Murray Campbell, Hans J. Berliner

Proceedings of the National Conference on Artificial Intelligence, 1983

1982

Parallel Search of Strongly Ordered Game Trees.

T. Anthony Marsland, Murray Campbell

ACM Comput. Surv., 1982

1981

A survey of enhancements to the alpha-beta algorithm.

T. A. Marsland, Murray Campbell

Proceedings of the ACM 1981 Annual Conference, Los Angeles, CA, USA, November 9-11, 1981., 1981