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Fabrice Harel-Canada
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Year
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
652021
Is neuron coverage a meaningful measure for testing deep neural networks?
F Harel-Canada, L Wang, MA Gulzar, Q Gu, M Kim
Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020
582020
EnDex: Evaluation of Dialogue Engagingness at Scale
G Xu, R Liu, F Harel-Canada, NR Chandra, N Peng
arXiv preprint arXiv:2210.12362, 2022
62022
Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks?[J]
FY Harel
Ann Arbor 1001, 48106-1346, 2019
22019
Is Q-learning provably efficient? An extended analysis
K Rastogi, J Lee, F Harel-Canada, A Joglekar
arXiv preprint arXiv:2009.10396, 2020
12020
Sibylvariant Transformations for Robust Text Classification
F Harel-Canada, MA Gulzar, N Peng, M Kim
arXiv preprint arXiv:2205.05137, 2022
2022
Sibylvariant Transformations for Robust Text Classification
MA Gulzar, N Peng, M Kim
Findings of the Association for Computational Linguistics: ACL 2022, 1771-1788, 2022
2022
Code2Cap: Automated Code Captioning
V Karia, A Mukherjee, Z Doshi, V Pendse, V Chang
2019
Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks?
Fabrice Yohann Harel-Canada
eScholarship, University of California, 2019
2019
Predicting Stock Prices with Relational Learning
J Theurer, Y Prakash, U Munendra
Code2Func: Function Name Generation from Source Code
JV Jeyakumar, CPK Arjun
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