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ORCIDCynthia Matuszek
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2020 – today
- 2024
[j7]Tom Williams
, Cynthia Matuszek, Ross Mead, Nick DePalma:
Scarecrows in Oz: The Use of Large Language Models in HRI. ACM Trans. Hum. Robot Interact. 13(1): 1:1-1:11 (2024)- [c46]Ran Liu, Cynthia Matuszek, Charles Nicholas:
An Efficient PDF Malware Detection Method Using Highly Compact Features. DocEng 2024: 14:1-14:4 - [c45]Cynthia Matuszek, Nick DePalma, Ross Mead, Tom Williams, Ruchen Wen:
Scarecrows in Oz: Large Language Models in HRI. HRI (Companion) 2024: 1338-1340 - [c44]Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek:
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS 2024: 1-6 - [i16]Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek:
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR abs/2403.16222 (2024) - [i15]Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams:
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR abs/2404.01158 (2024) - [i14]Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov:
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR abs/2407.19125 (2024) - [i13]Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nick Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov:
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. CoRR abs/2410.02721 (2024) - 2023
- [j6]Tom Williams, Cynthia Matuszek, Kristiina Jokinen, Raj Korpan, James Pustejovsky, Brian Scassellati:
Voice in the Machine: Ethical Considerations for Language-Capable Robots. Commun. ACM 66(8): 20-23 (2023) - [j5]Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities. Trans. Mach. Learn. Res. 2023 (2023) - [c43]Jacob Rubinstein, Cynthia Matuszek, Don Engel:
Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract). AAAI 2023: 16312-16313 - [c42]Ran Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas:
Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. IEEE Big Data 2023: 3017-3024 - [c41]Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt:
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS 2023: 181-192 - [c40]Luke E. Richards, Edward Raff, Cynthia Matuszek:
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition. AISec@CCS 2023: 161-171 - [c39]Ran Liu, Cynthia Matuszek, Charles Nicholas:
A PDF Malware Detection Method Using Extremely Small Training Sample Size. DocEng 2023: 27:1-27:4 - [c38]Edward Raff, Cynthia Matuszek:
Does Starting Deep Learning Homework Earlier Improve Grades? ECAI Workshops (2) 2023: 381-396 - [c37]Padraig Higgins, Ryan Barron, Don Engel, Cynthia Matuszek:
A Comparative Analysis of VR-Based and Real-World Human-Robot Collaboration for Small-Scale Joining. VR Workshops 2023: 845-846 - [i12]Luke E. Richards, Edward Raff, Cynthia Matuszek:
Measuring Equality in Machine Learning Security Defenses. CoRR abs/2302.08973 (2023) - [i11]Edward Raff, Cynthia Matuszek:
Does Starting Deep Learning Homework Earlier Improve Grades? CoRR abs/2311.09228 (2023) - [i10]Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek:
DDxT: Deep Generative Transformer Models for Differential Diagnosis. CoRR abs/2312.01242 (2023) - [i9]Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt:
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR abs/2312.15813 (2023) - 2022
- [j4]Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond J. Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu:
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71: 101255 (2022) - [j3]Larry Matthies, Aaron M. Johnson, Monroe Kennedy, Cynthia Matuszek, Dilip Patel:
Editorial: Special Issue on Robotics Collaborative Technology Alliance (RCTA) Program. Field Robotics 2(1): 1943-1946 (2022) - [c36]Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. AAAI 2022: 10884-10893 - [c35]Adam J. Berlier, Anjali Bhatt, Cynthia Matuszek:
Augmenting Simulation Data with Sensor Effects for Improved Domain Transfer. ECCV Workshops (6) 2022: 765-779 - [c34]Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis:
Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI 2022: 1275-1277 - [c33]Padraig Higgins, Ryan Barron, Cynthia Matuszek:
Head Pose for Object Deixis in VR-Based Human-Robot Interaction. RO-MAN 2022: 610-617 - 2021
- [c32]Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff:
Adversarial Transfer Attacks With Unknown Data and Class Overlap. AISec@CCS 2021: 13-24 - [c31]André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek:
Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning. CVPR Workshops 2021: 1613-1622 - [c30]Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data. FLAIRS 2021 - [c29]Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek:
A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning. NeurIPS Datasets and Benchmarks 2021 - [c28]Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Neural Variational Learning for Grounded Language Acquisition. RO-MAN 2021: 633-640 - [c27]Mark Murnane, Padraig Higgins, Monali Saraf, Francis Ferraro, Cynthia Matuszek, Don Engel:
A Simulator for Human-Robot Interaction in Virtual Reality. VR Workshops 2021: 470-471 - [i8]John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas:
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR abs/2106.07860 (2021) - [i7]Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Neural Variational Learning for Grounded Language Acquisition. CoRR abs/2107.14593 (2021) - [i6]Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff:
Adversarial Transfer Attacks With Unknown Data and Class Overlap. CoRR abs/2109.11125 (2021) - [i5]Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. CoRR abs/2112.13758 (2021) - 2020
- [j2]Stefanie Tellex, Nakul Gopalan, Hadas Kress-Gazit, Cynthia Matuszek:
Robots That Use Language. Annu. Rev. Control. Robotics Auton. Syst. 3: 25-55 (2020) - [c26]John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek:
Planning with Abstract Learned Models While Learning Transferable Subtasks. AAAI 2020: 9992-10000 - [c25]Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. IEEE BigData 2020: 5191-5200 - [c24]Luke E. Richards, Kasra Darvish, Cynthia Matuszek:
Learning Object Attributes with Category-Free Grounded Language from Deep Featurization. IROS 2020: 8400-8407 - [i4]Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek:
Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning. CoRR abs/2007.14987 (2020) - [i3]André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek:
Practical Cross-modal Manifold Alignment for Grounded Language. CoRR abs/2009.05147 (2020) - [i2]Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. CoRR abs/2011.08021 (2020)
2010 – 2019
- 2019
- [c23]Neil Bell, Brian Seipp, Tim Oates, Cynthia Matuszek:
Inferring Robot Morphology from Observation of Unscripted Movement. ICRA 2019: 9544-9551 - [c22]Caroline Kery, Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Building Language-Agnostic Grounded Language Learning Systems. RO-MAN 2019: 1-7 - [c21]Mark Murnane, Max Breitmeyer, Francis Ferraro, Cynthia Matuszek, Don Engel:
Learning from human-robot interactions in modeled scenes. SIGGRAPH Posters 2019: 1:1-1:2 - [c20]Mark Murnane, Max Breitmeyer, Cynthia Matuszek, Don Engel:
Virtual Reality and Photogrammetry for Improved Reproducibility of Human-Robot Interaction Studies. VR 2019: 1092-1093 - [i1]John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek:
Planning with Abstract Learned Models While Learning Transferable Subtasks. CoRR abs/1912.07544 (2019) - 2018
- [c19]Nisha Pillai, Cynthia Matuszek:
Unsupervised Selection of Negative Examples for Grounded Language Learning. AAAI 2018: 6517-6523 - [c18]Cynthia Matuszek:
Grounded Language Learning: Where Robotics and NLP Meet. IJCAI 2018: 5687-5691 - 2017
- [e1]Mohit Bansal, Cynthia Matuszek, Jacob Andreas, Yoav Artzi, Yonatan Bisk:
Proceedings of the First Workshop on Language Grounding for Robotics, RoboNLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-64-7 [contents] - 2016
- [c17]Prajit Kumar Das, Abhay L. Kashyap, Gurpreet Singh, Cynthia Matuszek, Tim Finin, Anupam Joshi:
Semantic Knowledge and Privacy in the Physical Web. PrivOn@ISWC 2016 - 2015
- [c16]Mitchell Scott, Bei Peng, Madeline Chili, Tanay Nigam, Francis G. Pascual, Cynthia Matuszek, Matthew E. Taylor:
On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot. AAAI Fall Symposia 2015: 117-121 - [c15]Matthew Kay, Cynthia Matuszek, Sean A. Munson:
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. CHI 2015: 3819-3828 - 2014
- [b1]Cynthia Matuszek:
Talking to Robots: Learning to Ground Human Language in Perception and Execution. University of Washington, USA, 2014 - [c14]Cynthia Matuszek, Liefeng Bo, Luke Zettlemoyer, Dieter Fox:
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions. AAAI 2014: 2556-2563 - 2012
- [j1]Vikas Agrawal, Jorge A. Baier, Kostas E. Bekris, Yiling Chen, Artur S. d'Avila Garcez, Pascal Hitzler, Patrik Haslum, Dietmar Jannach, Edith Law, Freddy Lécué, Luís C. Lamb, Cynthia Matuszek, Héctor Palacios, Biplav Srivastava, Lokendra Shastri, Nathan R. Sturtevant, Roni Stern, Stefanie Tellex, Stavros Vassos:
Reports of the AAAI 2012 Conference Workshops. AI Mag. 33(4): 119- (2012) - [c13]Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, Dieter Fox:
A Joint Model of Language and Perception for Grounded Attribute Learning. ICML 2012 - [c12]Cynthia Matuszek, Evan Herbst, Luke Zettlemoyer, Dieter Fox:
Learning to Parse Natural Language Commands to a Robot Control System. ISER 2012: 403-415 - 2011
- [c11]Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua R. Smith, Dieter Fox:
Gambit: An autonomous chess-playing robotic system. ICRA 2011: 4291-4297 - 2010
- [c10]Cynthia Matuszek, Dieter Fox, Karl Koscher:
Following directions using statistical machine translation. HRI 2010: 251-258
2000 – 2009
- 2009
- [c9]Tamara Denning, Cynthia Matuszek, Karl Koscher, Joshua R. Smith, Tadayoshi Kohno:
A spotlight on security and privacy risks with future household robots: attacks and lessons. UbiComp 2009: 105-114 - 2007
- [c8]Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael Witbrock:
Autonomous Classification of Knowledge into an Ontology. FLAIRS 2007: 140-145 - [c7]Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael Witbrock:
Guiding Inference with Policy Search Reinforcement Learning. FLAIRS 2007: 146-151 - 2006
- [c6]Cynthia Matuszek, John Cabral, Michael Witbrock, John DeOliveira:
An Introduction to the Syntax and Content of Cyc. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering 2006: 44-49 - [c5]Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjørn Aldag, David Baxter, John Cabral, Michael Witbrock, Jon Curtis:
Automated Population of Cyc: Extracting Information about Named-entities from the Web. FLAIRS 2006: 153-158 - [p1]Kathy Panton, Cynthia Matuszek, Douglas B. Lenat, Dave Schneider, Michael Witbrock, Nick Siegel, Blake Shepard:
Common Sense Reasoning - From Cyc to Intelligent Assistant. Ambient Intelligence in Everyday 2006: 1-31 - 2005
- [c4]Cynthia Matuszek, Michael Witbrock, Robert C. Kahlert, John Cabral, David Schneider, Purvesh Shah, Douglas B. Lenat:
Searching for Common Sense: Populating Cyc™ from the Web. AAAI 2005: 1430-1435 - [c3]Blake Shepard, Cynthia Matuszek, C. Bruce Fraser, William Wechtenhiser, David Crabbe, Zelal Güngördü, John Jantos, Todd Hughes, Larry Lefkowitz, Michael Witbrock, Douglas B. Lenat, Erik Larson:
A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment. AAAI 2005: 1563-1568 - [c2]Michael Witbrock, Cynthia Matuszek, Antoine Brusseau, Robert C. Kahlert, C. Bruce Fraser, Douglas B. Lenat:
Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors 2005: 99-105 - [c1]John Cabral, Robert C. Kahlert, Cynthia Matuszek, Michael Witbrock, Brett Summers:
Converting Semantic Meta-knowledge into Inductive Bias. ILP 2005: 38-50
Coauthor Index
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