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ORCIDHarshil Shah
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2020 – today
- 2023
[i9]Daniel Nkemelu, Harshil Shah, Irfan Essa, Michael L. Best:
Tackling Hate Speech in Low-resource Languages with Context Experts. CoRR abs/2303.16828 (2023)- [i8]Harshil Shah, Arthur Wilcke, Marius Cobzarenco, Cristi Cobzarenco, Edward Challis, David Barber:
Generalized Multiple Intent Conditioned Slot Filling. CoRR abs/2305.11023 (2023) - 2022
- [j4]Anjana Deva Prasad
, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy:
NURBS-Diff: A Differentiable Programming Module for NURBS. Comput. Aided Des. 146: 103199 (2022) - [j3]Harshil Shah, Sambit Ghadai, Dhruv Gamdha, Alex Schuster, Ivan Thomas, Nathan Greiner, Adarsh Krishnamurthy:
GPU-Accelerated Collision Analysis of Vehicles in a Point Cloud Environment. IEEE Computer Graphics and Applications 42(5): 37-50 (2022) - 2021
- [c9]Antonis Manousis, Harshil Shah, Henry Milner, Yan Li, Hui Zhang, Vyas Sekar:
The shape of view: an alert system for video viewership anomalies. Internet Measurement Conference 2021: 245-260 - [i7]Harshil Shah, Tim Z. Xiao, David Barber:
Locally-Contextual Nonlinear CRFs for Sequence Labeling. CoRR abs/2103.16210 (2021) - [i6]Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy:
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. CoRR abs/2104.14547 (2021) - 2020
- [c8]Harshil Shah, Julien Fauqueur:
Learning Informative Representations of Biomedical Relations with Latent Variable Models. SustaiNLP@EMNLP 2020: 19-28 - [i5]Harshil Shah, Julien Fauqueur:
Learning Informative Representations of Biomedical Relations with Latent Variable Models. CoRR abs/2011.10285 (2020)
2010 – 2019
- 2019
- [j2]Naman Shah, Matthew Malensek, Harshil Shah, Shrideep Pallickara, Sangmi Lee Pallickara:
Scalable network analytics for characterization of outbreak influence in voluminous epidemiology datasets. Concurr. Comput. Pract. Exp. 31(7) (2019) - [c7]Sindhu Ghanta, Sriram Subramanian, Lior Khermosh, Harshil Shah, Yakov Goldberg, Swaminathan Sundararaman, Drew S. Roselli, Nisha Talagala:
MPP: Model Performance Predictor. OpML 2019: 23-25 - [i4]Sindhu Ghanta, Sriram Subramanian, Lior Khermosh, Swaminathan Sundararaman, Harshil Shah, Yakov Goldberg, Drew S. Roselli, Nisha Talagala:
ML Health: Fitness Tracking for Production Models. CoRR abs/1902.02808 (2019) - [i3]Sindhu Ghanta, Sriram Subramanian, Lior Khermosh, Harshil Shah, Yakov Goldberg, Swaminathan Sundararaman, Drew S. Roselli, Nisha Talagala:
MPP: Model Performance Predictor. CoRR abs/1902.08638 (2019) - 2018
- [c6]Harshil Shah, Bowen Zheng, David Barber:
Generating Sentences Using a Dynamic Canvas. AAAI 2018: 5430-5437 - [c5]Harshil Shah, David Barber:
Generative Neural Machine Translation. NeurIPS 2018: 1353-1362 - [i2]Harshil Shah, David Barber:
Generative Neural Machine Translation. CoRR abs/1806.05138 (2018) - [i1]Harshil Shah, Bowen Zheng, David Barber:
Generating Sentences Using a Dynamic Canvas. CoRR abs/1806.05178 (2018) - 2017
- [c4]Harshil Shah, Siddharth Kamaria, Riddhesh Markandeya, Miral Shah, Bhaskar Chaudhury:
A Novel Implementation of 2D3V Particle-in-Cell (PIC) Algorithm for Kepler GPU Architecture. HiPC 2017: 378-387 - [c3]Harshil Shah, David Barber, Aleksandar Botev:
Overdispersed variational autoencoders. IJCNN 2017: 1109-1116 - [c2]Uday A. Korat, Pratik Yadav, Harshil Shah:
An efficient hardware implementation of vector-based odd-even merge sorting. UEMCON 2017: 654-657 - 2016
- [c1]Naman Shah, Harshil Shah, Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Network analysis for identifying and characterizing disease outbreak influence from voluminous epidemiology data. IEEE BigData 2016: 1222-1231 - 2014
- [j1]Sung Kyu Robin Park, Aaron Aslanian, Daniel B. McClatchy, Xuemei Han, Harshil Shah, Meha Singh, Navin Rauniyar, James J. Moresco, Antonio F. M. Pinto, Jolene K. Diedrich, Claire Delahunty, John R. Yates III:
Census 2: isobaric labeling data analysis. Bioinform. 30(15): 2208-2209 (2014)
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