ODD Workshop
@odd_workshop
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6th Outlier Detection and Description Workshop, co-located with #KDD2021 https://t.co/L5jbnaF4Eb
Joined April 2021
RT @_christinabaek: Estimating out-of-distribution (OOD) performance is hard because labeled data is expensive. Can we predict OOD performa…
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RT @Guansong_Aus: #CFP Our #KDD2022 workshop on anomaly and novelty detection is seeking for paper submissions. We commit to a non-archival…
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RT @seanjtaylor: Seeing a lot of great OSS forecasting packages taking shape lately! Greykite (brand new from LinkedIn):
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RT @RoBBifulco: While we wait for NSDI's sessions, we had a cool presentation today form Davide Sanvito, about our early results in rethink…
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RT @siddharthb_: Excited about our accepted paper at @TheWebConf "MemStream: Memory-Based Streaming Anomaly Detection" Preprint: https://t.…
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RT @JingkangY: Outlier Detection? Anomaly Detection? Novelty Detection? Open Set Recognition? OOD Detection? 🤨 What are they?🤔 Are they dif…
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RT @leman_akoglu: Looking to hire a post doc researcher at CMU, for a project on graph anomaly detection with neural networks. Job posting…
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@AzriAbdelghani @kdd_news @leman_akoglu @souravc83 @ManishGuptaMG1 @CharuAg99748546 @danaikoutra @vagelispapalex @SergeyI49013776 @jure @mattmayo13 @WSDMSocial Slides to some of the talks are available on the workshop website.
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RT @siddharthb_: Glad to announce our #KDD2021 Workshop on Outlier Detection and Description @odd_workshop. Jointly organized with Bryan Ho…
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8. Anomaly Detection and Automated Labeling for Voter Registration File Changes Sam F Royston, Courtenay Cotton
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8. Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering Cheng Feng, Pengwei Tian
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