Debanjan Datta

PhD, CS @VT_CS, AWS AI
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Ex-Yahoo. Likes machine & human learning.
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Opinions : Strictly Personal
Retweets != Agreement/Endorsement

[Debanjan Datta @devDdata]

While there are many resources/blogs floating around, not all are as comprehensive as this one on LoRA, discusses details one actually needs to know in practice. Worth a read. https://t.co/PQ0H6UIGWn

[Debanjan Datta @devDdata]

Illegal Timber Trade is a multibillion $ transnational crime. This paper describes a pilot project , w/ @simeone_john , @profnaren & collaborators from @WWF at #VT, gives a concise peak into the challenges & how ML based methods can help address it. https://t.co/XyDhpJaryP

[Debanjan Datta @devDdata]

@profnaren @ShengzheXu @RaquibYousuf Wish you the best. Fond memories of the space!

[Debanjan Datta @devDdata]

@profnaren @aaas @virginia_tech Congratulations!

[Debanjan Datta @devDdata]

@NElmqvist @csaudk Congratulations & Best wishes!

[Debanjan Datta @devDdata]

@CGISFO @MEAIndia @CPVIndia Thanks for the prompt response! Appreciate it.

[The Sanghani Center at Virginia Tech @SanghaniCtrVT]

At the #KDD2022 conference this week, @SanghaniCtrVT director Naren Ramakrishnan (@profnaren) reunited with former Ph.D. students @VT_CS now on their own career paths in academia or the tech industry: Feng Chen, @bijayaAdh, Fang Jin, @devDdata.

[The Sanghani Center at Virginia Tech @SanghaniCtrVT]

Faculty and Ph.D. students @VT_CS @SanghaniCtrVT were among the organizers and presenters at #KDD2022 this week in Washington, DC. The conference was also a good opportunity to meet up with alums and colleagues from other universities.

[Debanjan Datta @devDdata]

I'm excited to share my paper 'Framing Algorithmic Recourse for Anomaly Detection' with @profnaren @niustrategy will be presented at ACM SigKDD 2022, Research Track. If you're at #KDD2022 check out our talk & poster on 8/16!
[https://t.co/Klkw7e95zT] @kdd_news

[DeepAI @DeepAI]

Framing Algorithmic Recourse for Anomaly Detection
https://t.co/W1O9K1pKPP
by @devDdata, @niustrategy, and @profnaren
#AnomalyDetection #MachineLearning

[Debanjan Datta @devDdata]

@nikhilm_1 @SukritVt Congratulations Sukrit!

[Debanjan Datta @devDdata]

@nikhilm_1 @amazon Thanks @nikhilm_1 . It's been great to have you as a colleague, and friend. Do keep in touch!

[Debanjan Datta @devDdata]

@profnaren Thank you @profnaren for all your guidance, motivation and help! It was an eventful journey in graduate school that definitely enabled me to learn & explore, as well as meet & work with so many great people!

[Debanjan Datta @devDdata]

@NElmqvist Thanks Professor! Indeed bears no relation at all :)

[Debanjan Datta @devDdata]

@EmtiyazKhan I would like to review/contribute.

[Thomas G. Dietterich @tdietterich]

Anomaly detection methods compute an anomaly score A(x), and in research, we measure their effectiveness using AUC for the binary decision "anomaly" vs. "not anomaly". But in applications, we need to choose a threshold tau. How can we set tau without having labeled anomalies? 1/

[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

[The Sanghani Center at Virginia Tech @SanghaniCtrVT]

With the Fall 2021 semester fast approaching, students @SanghaniCtrVT are finishing up their summer internships. Ph.D. student Debanjan Datta (@devDdata) has been working on time series characterization and classification @awscloud, Seattle, WA. @profnaren @VT_CS

[Naren Ramakrishnan @profnaren]

Useful thread w/ refs to recent happenings. cc @devDdata , @ShengzheXu.