Deepta Rajan @deepdanscience
Dance n' Data for Science. ML for Healthcare. Always ready to workout. Joined June 2019-
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If you are designing Outlier Exposure-free OOD detectors, talk to us at the PODS@ICML workshop. Hint: virtual inlier synthesis + negative data augmentation is the key! @VivekSivaraman1 @RUSH1L @deepdanscience #YamenMubarka @asusensip Preprint: arxiv.org/abs/2207.05286 4/9
I will be at #ICML2022 next week! Excited to attend an in-person conference after a long time. Here is a quick roundup of our conference and workshop papers.. If you want to chat about any of our projects, or just meet for coffee, let me know :) 1/9
i've been submitting my work to conferences for more than 10 years, fighting to make each deadline. i have tried many strategies to cope with the anxiety and make sure that i don't have to work insane amounts of hours on the days before the deadline. here's what i learned: 👇🧵
Hot off the press @SciReports: A short thread on TraCE, a new method for post-hoc analysis of chest X-ray models. This can be used to validate model behavior and characterize its weaknesses. Joint work with @kowshik0808 @deepdanscience @pturaga1. Link: nature.com/articles/s4159…
ah! the citation problem... 🙄 sigh.
I spend a lot of “research” time pleading for access to health data @m_sendhil and I co-founded a new nonprofit, @NightingaleOS, so you don’t have to We link medical imaging data + ground truth outcomes, and make it available—free! Launching tomorrow at #NeurIPS2021
Congratulations to @jjayaram7, Vivek & the entire team for their collaborative research on Deep Inversion Methods presented at the @NeurIPSConf. @AsuEnergy Ph.D student @VivekSivaraman1 presented the paper last Friday. @Livermore_Lab @deepdanscience
We are hiring research interns (summer 2022, PhD students only) @MITIBMLab to work in areas such as contrastive learning, density ratio estimation, generative models and tabular data synthesis. Please DM me your CV if you are interested. #internship
Do you like data challenges that can push the limits on how #ai impact #care? You are welcome to participate in the two challenges we just launched! You can learn from our own experience in participation in such challenge - see our paper at @NatMachIntell nature.com/articles/s4225…
Meeting my fav collaborator after months & celebrating our #Neurips2022 paper on Explainable AI! 🥳 arxiv.org/abs/2109.14274 Checkout our work on counterfactual generation using deep inversion. Grateful to be a part of this team @jjayaram7 @VivekSivaraman1 join us next time.🙌
Meeting my fav collaborator after months & celebrating our #Neurips2022 paper on Explainable AI! 🥳 arxiv.org/abs/2109.14274 Checkout our work on counterfactual generation using deep inversion. Grateful to be a part of this team @jjayaram7 @VivekSivaraman1 join us next time.🙌 https://t.co/h0qaFFIa9t
"Ideas are free/cheap, but implementing them is the real work" is just a way of devaluing the work of people who are very good at generating ideas
Earlier this summer Krystal and I are appointed as ICLR 2022 DEI chairs. Right away we started planning something tangible and actionable to *really* help broaden the ICLR participation pool. Hence the birth of CoSubmitting Summer (CSS) program: blog.iclr.cc/2021/08/10/bro… 1/
😂 this thread! these billionaires!
It was fun to devour the literature and extract insights with this team! 👏 Congratulations! @JannisBorn @michal_zvi @mariagabrani @drugilsberg @DrKarteris and more.
It was fun to devour the literature and extract insights with this team! 👏 Congratulations! @JannisBorn @michal_zvi @mariagabrani @drugilsberg @DrKarteris and more.
On the Role of #AI in Medical Imaging of #COVID19: Systematic meta-analysis 👉largely failed to focus on clinically relevant tasks; recommendations provided Read More: cell.com/patterns/fullt… @JannisBorn @deepdanscience @drugilsberg @michal_zvi #100daysofcode #MedTwitterAI #ML
1/2 🤓Ever wanted to systematically search for publications?📖 We release #paperscraper, a @pypi package for scraping of publication metadata. It eases publication keyword search & provides endpoints for #PubMed #arxiv #biorxiv #medrixv & #chemrxiv! Code: ibm.biz/paperscraper
Lab scientist @jjayaram7 and an @IBMResearch team won an SPIE Best Paper award for their work on a “self-training” deep learning approach to disease diagnosis that can exceed the performance of existing neural networks with 85 percent less annotated data. llnl.gov/news/self-trai…

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