ODD Workshop

6th Outlier Detection and Description Workshop, co-located with #KDD2021

[ODD Workshop @odd_workshop]

Interesting benchmark for Fraud created by @awscloud @groverpr4 https://t.co/aXj6UzAeCs

[Christina Baek @_christinabaek]

Estimating out-of-distribution (OOD) performance is hard because labeled data is expensive. Can we predict OOD performance w/ only _unlabeled data_? In our work (https://t.co/1OyQyGdjKe), we show this can be done using models’ agreement.

w/ @yidingjiang, Aditi R., @zicokolter

[Guansong Pang @Guansong_Aus]

#CFP Our #KDD2022 workshop on anomaly and novelty detection is seeking for paper submissions. We commit to a non-archival workshop. Dual submission is allowed!

Submission deadline: May 26th, 2022(23:59 UTC-12)
Website: https://t.co/aLUmk56VVK

In conjunction with @kdd_news

[Sean J. Taylor @seanjtaylor]

Seeing a lot of great OSS forecasting packages taking shape lately!

Greykite (brand new from LinkedIn): https://t.co/79dbjdIqSZ
Orbit (released last year by Uber): https://t.co/GnXxFKTMom

https://t.co/4jLomE2Pfv

[Roberto Bifulco @RoBBifulco]

While we wait for NSDI's sessions, we had a cool presentation today form Davide Sanvito, about our early results in rethinking system monitoring: "Learning What to Monitor for Efficient Anomaly Detection" just happened at #EuroMLSys @EuroSys_conf @robegs @sharan_7f000001

[Siddharth Bhatia @siddharthb_]

Excited about our accepted paper at @TheWebConf "MemStream: Memory-Based Streaming Anomaly Detection"
Preprint: https://t.co/91si9Lp6zL
Code: https://t.co/Csv3kIJU8X

#TheWebConf #WWW2022 #TheWebConf2022

[Jingkang (Jake) Yang @JingkangY]

Outlier Detection? Anomaly Detection? Novelty Detection? Open Set Recognition? OOD Detection?
🤨 What are they?🤔 Are they different?🧐 How to solve them?😕
Check out our latest survey "Generalized OOD Detection" to answer them all!
https://t.co/7v4B8wBWol
https://t.co/yKWpXhNmlF

[Leman Akoglu @leman_akoglu]

Looking to hire a post doc researcher at CMU,
for a project on graph anomaly detection with neural networks. Job posting and details at
https://t.co/3cmHtMXkHA
Contact me at [email protected]
Please feel free to forward to whom you think would be interested.

[ODD Workshop @odd_workshop]

@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.

[ODD Workshop @odd_workshop]

ODD Workshop at #KDD2021 starts from 8am Pacific time. There are 6 exciting keynote talks and a panel discussion on fairness in outlier detection.

https://t.co/hFcMsoOZn7

[Siddharth Bhatia @siddharthb_]

Glad to announce our #KDD2021 Workshop on Outlier Detection and Description @odd_workshop. Jointly organized with Bryan Hooi, @leman_akoglu, @souravc83, Xiaodong Jiang, @ManishGuptaMG1

Deadline: May 20, 2021
Details: https://t.co/52G8dvw8Lh

@kdd_news
#Anomaly #DataScience

[ODD Workshop @odd_workshop]

8. Anomaly Detection and Automated Labeling for Voter Registration File Changes
Sam F Royston, Courtenay Cotton

[ODD Workshop @odd_workshop]

Accepted Papers at ODD 2021:

1. Scalable Change Point Detection for Dynamic Graphs
@shenyangHuang, @grwip, @ReiRabb

2. Out-of-Distribution Detection and Fairness Assessment in Dermatology
Hannah H Kim, Girmaw Abebe Tadesse, @RTFMCelia, @PhonesDrones, @krvarshney

[ODD Workshop @odd_workshop]

6. Anomaly Alignment Across Multiple Attributed Networks
Jie Zhang, Nannan Wu, Wenjun Wang, ying sun, Siddharth Bhatia

7. CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System
Huiling Qin, Xianyuan Zhan, Yu Zheng

[ODD Workshop @odd_workshop]

8. Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
https://t.co/VWURXiBBDG
Cheng Feng, Pengwei Tian

[ODD Workshop @odd_workshop]

If you are attending #KDD2021, check out the following interesting outlier/anomaly detection related papers:

1. Deep Clustering-based Fair Outlier Detection
https://t.co/y2H8ZWOaK0
by Hanyu Song, Peizhao Li, Hongfu Liu

@kdd_news

[ODD Workshop @odd_workshop]

7. Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization
Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki