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10/03/2022
Unsupervised Model Selection for Time-series Anomaly Detection
Anomaly detection in time-series has a wide range of practical applicati...
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03/10/2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
Current machine-learning based software vulnerability detection methods ...
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01/18/2022
Online Time Series Anomaly Detection with State Space Gaussian Processes
We propose r-ssGPFA, an unsupervised online anomaly detection model for ...
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11/11/2020
J-Recs: Principled and Scalable Recommendation Justification
Online recommendation is an essential functionality across a variety of ...
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06/24/2020
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
Can one build a knowledge graph (KG) for all products in the world? Know...
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06/22/2020
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
Given multiple input signals, how can we infer node importance in a know...
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06/18/2020
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Taxonomies have found wide applications in various domains, especially o...
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05/21/2019