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Harshil 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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