Jesse Thomason
机构: Assistant Professor, University of Southern California
每年引用次数
引用次数
引用: 3,670
H-指数: 25
I10-指数 : 34
出版物: 74
Differentiated service strategies for ad-hoc wireless sensor networks in harsh communication environments
Jesse D. Thomason , Kenji Yoshigoe , R. B. Lenin , James M. Bridges
Wireless Networks 18 ( 5) 551 -564
5
2012
Differences in User Responses to a Wizard-of-Oz versus Automated System
Diane Litman , Jesse Thomason
north american chapter of the association for computational linguistics 796 -801
3
2013
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild
Kate Saenko , Subhashini Venugopalan , Raymond Mooney , Sergio Guadarrama
international conference on computational linguistics 1218 -1227
158
2014
Learning to interpret natural language commands through human-robot dialog
Peter Stone , Shiqi Zhang , Raymond Mooney , Jesse Thomason
international conference on artificial intelligence 1923 -1929
115
2015
Continuously Improving Natural Language Understanding for Robotic Systems through Semantic Parsing, Dialog, and Multi-modal Perception
Jesse Thomason
2016
Improving Black-box Speech Recognition using Semantic Parsing
Raymond J. Mooney , Jesse Thomason , Rodolfo Corona
international joint conference on natural language processing 2 122 -127
10
2017
Opportunistic Active Learning for Grounding Natural Language Descriptions
Jivko Sinapov , Justin W. Hart , Peter Stone , Raymond J. Mooney
Conference on Robot Learning 67 -76
30
2017
Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing.
Wesley Tansey , James G. Scott , Jesse Thomason
national conference on artificial intelligence 2460 -2467
2
2018
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA
Yonatan Bisk , Jesse Thomason , Daniel Gordon
arXiv: Computation and Language
69
2018
Vision-and-Dialog Navigation
Luke Zettlemoyer , Maya Cakmak , Jesse Thomason , Michael Murray
arXiv: Computation and Language
204
2019
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Roozbeh Mottaghi , Luke Zettlemoyer , Dieter Fox , Yonatan Bisk
arXiv: Computer Vision and Pattern Recognition
325
2019
Experience Grounds Language
Yoshua Bengio , Mirella Lapata , Joseph Turian , Angeliki Lazaridou
arXiv: Computation and Language
233
2020
RMM: A Recursive Mental Model for Dialog Navigation
Asli Celikyilmaz , Jianfeng Gao , Yonatan Bisk , Jesse Thomason
arXiv: Computation and Language
32
2020
Improving Grounded Natural Language Understanding through Human-Robot Dialog
Jivko Sinapov , Justin Hart , Peter Stone , Raymond J. Mooney
international conference on robotics and automation 6934 -6941
58
2019
Multi-Modal Word Synset Induction
Jesse Thomason , Raymond J. Mooney
international joint conference on artificial intelligence 4116 -4122
4
2017
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers
Saeid Amiri , Suhua Wei , Shiqi Zhang , Jivko Sinapov
international joint conference on artificial intelligence 4638 -4645
11
2018
BWIBots: A platform for bridging the gap between AI and human–robot interaction research:
Piyush Khandelwal , Shiqi Zhang , Jivko Sinapov , Matteo Leonetti
The International Journal of Robotics Research 36 635 -659
120
2017
Interpreting Black Box Models via Hypothesis Testing
Collin Burns , Jesse Thomason , Wesley Tansey
Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference 47 -57
27
2020
Prosodic Entrainment and Tutoring Dialogue Success
Jesse Thomason , Huy V. Nguyen , Diane Litman
artificial intelligence in education 750 -753
30
2013
Integrated Learning of Dialog Strategies and Semantic Parsing
Aishwarya Padmakumar , Jesse Thomason , Raymond J. Mooney
conference of the european chapter of the association for computational linguistics 547 -557
22
2017