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Testing Machine Learning (ML) models and AI-Infused Applications (AIIAs), or systems that contain ML models, is highly challenging.
Benchmarking natural language understanding services for building conversational agents
Liu, X.; Eshghi, A.; Swietojanski, P.; and Rieser, V. 2019 · 1903
Earlier work this paper cites.
Linear and Quadratic Discriminant Analysis: Tutorial
Ghojogh, B.; and Crowley, M. 2019 · 1906
Earlier work this paper cites.
The ATIS Spoken Language Systems Pilot Corpus: Proceedings of a Workshop Held at Hidden Valley, Pennsylvania, June 24-27, 1990
Hemphill, C. T.; Godfrey, J. J.; and Doddington, G. R. 1990 · 1990
Earlier work this paper cites.
Support vector regression machines
H., D.; C., B.; L., K.; A., S.; and V., V. 1996 · 1996
Earlier work this paper cites.
Mahalanobis distance
McLachlan, G. J. 1999 · 1999
Earlier work this paper cites.
An Introduction to Variable and Feature Selection
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Earlier work this paper cites.
A well-conditioned estimator for large-dimensional covariance matrices
Ledoit, O.; and Wolf, M. 2004 · 2004
Earlier work this paper cites.
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A simple unified framework for detecting out-of-distribution samples and adversarial attacks
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Barash, G.; Farchi, E.; Jayaraman, I.; Raz, O.; Tzoref-Brill, R.; and Zalmanovici, M. 2019 · 2019
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
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FreaAI: Automated Extraction of Data Slices to Test Machine Learning Models
Ackerman, S.; Raz, O.; and Zalmanovici, M. 2020 · 2020
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Do Not Have Enough Data? Deep Learning to the Rescue!
Anaby-Tavor, A.; Carmeli, B.; Goldbraich, E.; Kantor, A.; Kour, G.; Shlomov, S.; Tepper, N.; and Zwerdling, N. 2020 · 2020
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A distance-based separability measure for internal cluster validation
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Sculpting Data for ML: The first act of Machine Learning
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News Category Dataset
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Typical laws of heredity
Galton, F. 1877
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