Matthew Tang

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 9

Top Topics

Epistemological Beliefs

Attention Mechanism

Integer Arithmetic

Top Venues

Publications

Zachary A. Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K. Sheel, Ethan Zhang
OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research. CHI (2023)
Matthew Rueben, Eitan Rothberg, Matthew Tang, Sarah Inzerillo, Saurabh S. Kshirsagar, Maansi Manchanda, Ginger Dudley, Marlena R. Fraune, Maja J. Mataric
The Robot Olympics: Estimating and Influencing Beliefs About a Robot's Perceptual Capabilities. RO-MAN (2022)
Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. CoRR (2020)
Xiao Luo, Haoran Ding, Matthew Tang, Priyanka Gandhi, Zhan Zhang, Zhe He
Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. BIBM (2020)
Matthew Rueben, Maja J. Mataric, Eitan Rothberg, Matthew Tang
Estimating and Influencing User Mental Models of a Robot's Perceptual Capabilities: Initial Development and Pilot Study. HRI (Companion) (2020)
Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. ACSSC (2020)
Matthew Tang, Priyanka Gandhi, Md. Ahsanul Kabir, Christopher Zou, Jordyn Blakey, Xiao Luo
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT. CoRR (2019)
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. CVPR (2018)
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. CoRR (2017)
Peter Doucette, Ann Martin, Chris Kavanagh, Tim McIntyre, Steven Barton, Jacek Grodecki, Seth M. Malitz, Matthew Tang, Joshua Nolting
Evaluation methods for curvilinear feature extraction. AIPR (2009)