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01/13/2021
Flow-Loss: Learning Cardinality Estimates That Matter
Previous approaches to learned cardinality estimation have focused on im...
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10/12/2020
Class-Weighted Evaluation Metrics for Imbalanced Data Classification
Class distribution skews in imbalanced datasets may lead to models with ...
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10/10/2020
AnomalyBench: An Open Benchmark for Explainable Anomaly Detection
Access to high-quality data repositories and benchmarks have been instru...
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06/05/2020
MISIM: An End-to-End Neural Code Similarity System
Code similarity systems are integral to a range of applications from cod...
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04/08/2020
Bao: Learning to Steer Query Optimizers
Query optimization remains one of the most challenging problems in data ...
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10/10/2019
LISA: Towards Learned DNA Sequence Search
Next-generation sequencing (NGS) technologies have enabled affordable se...
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04/07/2019
Neo: A Learned Query Optimizer
Query optimization is one of the most challenging problems in database s...
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03/20/2018
The Three Pillars of Machine Programming
In this position paper, we describe our vision of the future of machine ...
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03/20/2018
The Three Pillars of Machine-Based Programming
In this position paper, we describe our vision of the future of machine-...
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03/08/2018
A New Model for Evaluating Range-Based Anomaly Detection Algorithms
Classical anomaly detection (AD) is principally concerned with point-bas...
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01/09/2018
Precision and Recall for Range-Based Anomaly Detection
Classical anomaly detection is principally concerned with point-based an...
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01/09/2018