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My top-10 study list if I was learning machine learning again: 1. Python 2. Intro Data Science 3. Intro Machine Learning 4. Version Control 5. Intro Algos & Data Structures 6. Intro Linear Algebra 7. Intro Calculus 8. Deep Learning 9. Intro Proba & Stats 10. Parallel Computing

Our "Beyond Neural Scaling laws" paper got a #NeurIPS22 outstanding paper award! Congrats Ben Sorscher, Robert Geirhos, sshkhr & Ari Morcos awards: blog.neurips.cc/2022/11/21/ann… paper: arxiv.org/abs/2206.14486 🧵 x.com/SuryaGanguli/s…

Data subset selection solutions go to the next level. Soumi Das

Pleased to share a calender of "Calls for Proposals" in respect of various schemes of SERB for 2023. The call opening dates r tentative and therefore can vary slightly. But v will broadly follow this calender. Dr Jitendra Singh DSTIndia chandra Srivari

#RozgarMela PMO India DoPT MyGovIndia Ministry of Railways South Eastern Railway @drmkgp Kharagpur Rail

When I think of existential risks to large parts of humanity: * The next pandemic * Climate change→massive depopulation * Another asteroid AI will be a key part of our solution. So if you want humanity to survive & thrive the next 1000 years, lets make AI go faster, not slower.

PhD Synopsis Seminar at CNeRG Soumi Das successfully presented her PhD Synopsis earlier today. Title: Algorithms for Online Subset Selection and Data Valuation in Data-Centric AI A brief summary of her work follows. 1/n

Soumi Das Sourangshu Bhattacharya The main contribution of Soumi's thesis is- Considering the deluge of data all around the world and the inconsistencies in them like mislabelled data or data redundancy, there is a need to systematically engineer the data to make AI systems stable. 2/n

Soumi Das Sourangshu Bhattacharya ... The primary focus of this thesis is on developing online subset selection and data valuation algorithms in data centric AI, for filtering out the appropriate diverse set of data necessary for the end tasks... 3/n

Soumi Das Sourangshu Bhattacharya ... like episode completion using CARLA simulator, semantic segmentation and image classification on benchmark datasets. n/n We wish Soumi all the best for her future endeavors!

Back to supporting compute for research using PaliGemma, our latest open-weights VLM! Academic friends (across the world) - please apply before June 11. Please share within vision-focussed research communities! #CVPR2025 #ICCV2025 British Machine Vision Conference (BMVC) WACV European Conference on Computer Vision #ECCV2026

Paper accepted in IEEE TAFFC 2024 (ieeexplore.ieee.org/xpl/RecentIssu…)🎉 Title: A Comparative Data-driven Study of Intensity-based Categorical Emotion Representations for MER Author: Sanga Chaki, Sourangshu Bhattacharya, Junmoni Borgohain, Priyadarshi Patnaik, Raju Mullick, Gouri Karambelkar #TAFFC

1/6 🎉 Excited to announce our paper on Datadefense, a novel defense against targeted model poisoning attacks in Federated Learning, has been accepted at ECAI 2024! (CORE Rank A, 23% acceptance rate) #AI #MachineLearning

2/6 🛡️ Federated Learning allows for collaborative model building while preserving data privacy. But it's vulnerable to attacks. Our novel architecture, Datadefense, tackles this challenge head-on. #AIsecurity #Privacy

3/6 🧠 Datadefense uses a client importance model and a poisoned data detector to intelligently weigh client updates and identify malicious data. #AIResearch

4/6 💪 Results are impressive: * 40%+ reduction in attack success rate on standard setups * 80%+ reduction in some cases * Effective with as few as 5 defense examples * Datadefense outperforms existing strategies significantly!

5/6 🙏 Huge thanks to my incredible mentors: ~ Dr. Sourangshu Bhattacharya ~ Dr. Soumi Das ~ Dr. Santu Rana Your guidance and expertise made this possible! #AcademicTwitter

6/6 🔍 Want to dive deeper? Our preprint and code will be available soon. Stay tuned for updates! #SecurityinML

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