Shivchander Sudalairaj

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Akash SrivastavaMIT, IBM Research, University of EdinburghVerified email at mit.edu
Rumen DangovskiGoogle DeepMindVerified email at mit.edu
Seungwook HanMassachusetts Institute of TechnologyVerified email at mit.edu
Charlotte LohMassachusetts Institute of TechnologyVerified email at mit.edu
Leonid KarlinskyPrincipal Research Scientist, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Ligong HanPhD Candidate, Department of Computer Science, Rutgers UniversityVerified email at rutgers.edu
Marin SoljacicProfessor of Physics, MITVerified email at mit.edu
Pulkit AgrawalMassachusetts Institute of TechnologyVerified email at mit.edu
Hao WangMIT-IBM Watson AI LabVerified email at g.harvard.edu
Kristjan GreenewaldResearch Scientist, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Florian WenzelCTO/Co-founder at Mirelo AIVerified email at mirelo.ai
Donghyun KimKorea UniversityVerified email at bu.edu
Michael S. RyooStony Brook University; Salesforce AIVerified email at cs.stonybrook.edu
Jongwoo ParkPhD CandidateVerified email at cs.stonybrook.edu
Abhishek BhandwaldarResearch Engineer, IBM ResearchVerified email at ibm.com
David CoxVP, AI Models; IBM Director, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com

Shivchander Sudalairaj

Research Engineer, MIT-IBM Watson AI Lab

Verified email at ibm.com

Computer Vision Self-Supervised Learning Natural Language Processing


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Coeviz 2: protein graphs derived from amino acid covariance D Corcoran, N Maltbie, S Sudalairaj, FN Baker, J Hirschfeld, A Porollo Frontiers in bioinformatics 1, 653681, 2021	6	2021
Constructive assimilation: Boosting contrastive learning performance through view generation strategies L Han, S Han, S Sudalairaj, C Loh, R Dangovski, F Deng, P Agrawal, ... arXiv preprint arXiv:2304.00601, 2023	4	2023
Post-processing private synthetic data for improving utility on selected measures H Wang, S Sudalairaj, J Henning, K Greenewald, A Srivastava Advances in Neural Information Processing Systems 36, 2024	3	2024
Multi-symmetry ensembles: Improving diversity and generalization via opposing symmetries C Loh, S Han, S Sudalairaj, R Dangovski, K Xu, F Wenzel, M Soljacic, ... International Conference on Machine Learning, 22614-22630, 2023	3	2023
On the Importance of Calibration in Semi-supervised Learning C Loh, R Dangovski, S Sudalairaj, S Han, L Han, L Karlinsky, M Soljacic, ... arXiv preprint arXiv:2210.04783, 2022	2	2022
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging C Loh, R Dangovski, S Sudalairaj, S Han, L Han, L Karlinsky, M Soljacic, ... Transactions on Machine Learning Research, 2023	1	2023
Spatio-Temporal Analysis of EEG using Deep Learning S Sudalairaj University of Cincinnati, 2022	1	2022
LAB: Large-Scale Alignment for ChatBots S Sudalairaj, A Bhandwaldar, A Pareja, K Xu, DD Cox, A Srivastava arXiv preprint arXiv:2403.01081, 2024		2024
Grafting Vision Transformers J Park, K Kahatapitiya, D Kim, S Sudalairaj, Q Fan, MS Ryoo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024		2024
On Assimilating Learned Views in Contrastive Learning L Han, S Han, S Sudalairaj, C Loh, R Dangovski, P Agrawal, DN Metaxas, ...		2022

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