Sharad Chitlangia

Cited by

	All	Since 2020
Citations	545	544
h-index	6	6
i10-index	6	6

220

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165

2020202120222023202420254 24 85 186 211 34

Co-authors

Vijay Janapa ReddiHarvard UniversityVerified email at eecs.harvard.edu
Srivatsan KrishnanHarvard UniversityVerified email at seas.harvard.edu
Ashwin SrinivasanSenior Professor, Computer Science, BITS-Pilani, GoaVerified email at wolfson.oxon.org
Tirtharaj DashUniversity of Cambridge, UKVerified email at cam.ac.uk
Zishen WanPh.D. Student, Georgia TechVerified email at gatech.edu
Aleksandra FaustGoogle DeepMind, Mountain View, CAVerified email at google.com
Colby BanburyPhD Student, Harvard UniversityVerified email at g.harvard.edu
Pete WardenPhD Student, Stanford UniversityVerified email at stanford.edu
Mark MazumderPhD student, Harvard UniversityVerified email at g.harvard.edu
Zuxin LiuSalesforce AI ResearchVerified email at cs.cmu.edu
Ding ZhaoCarnegie Mellon UniversityVerified email at cmu.edu
Gabriel Barth-MaronGoogle DeepMindVerified email at google.com
Ajay SubramanianNew York UniversityVerified email at nyu.edu
Veeky BathsProfessor,Cognitive Neuroscience Lab, BITS Pilani Goa CampusVerified email at goa.bits-pilani.ac.in
Brian PlancherBarnard College, Columbia UniversityVerified email at barnard.edu
Susan KennedyAssistant Professor of Philosophy, Santa Clara UniversityVerified email at scu.edu
Peter MattsonGOOGLEVerified email at google.com
Keith AchornMachine Learning Engineer, IntelVerified email at intel.com
Juan CiroSoftware engineer, MlcommonsVerified email at unal.edu.co
Hanjiang HuCarnegie Mellon UniversityVerified email at cs.cmu.edu

Sharad Chitlangia

Research Scientist, Amazon

Verified email at amazon.com - Homepage

Machine Learning Machine Learning Systems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A review of some techniques for inclusion of domain-knowledge into deep neural networks T Dash, S Chitlangia, A Ahuja, A Srinivasan Scientific Reports 12 (1), 1-15, 2022	213*	2022
Widening access to applied machine learning with tinyml VJ Reddi, B Plancher, S Kennedy, L Moroney, P Warden, A Agarwal, ... arXiv preprint arXiv:2106.04008, 2021	80	2021
Multilingual spoken words corpus M Mazumder, S Chitlangia, C Banbury, Y Kang, JM Ciro, K Achorn, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021	64	2021
Investigating the impact of multi-lidar placement on object detection for autonomous driving H Hu, Z Liu, S Chitlangia, A Agnihotri, D Zhao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	60	2022
Quarl: Quantization for fast and environmentally sustainable reinforcement learning A Faust, G Barth-Maron, M Lam, S Chitlangia, S Krishnan, VJ Reddi, ... Transactions on Machine Learning Research (TMLR) 2022, 2022	58*	2022
Reinforcement learning and its connections with neuroscience and psychology A Subramanian, S Chitlangia, V Baths Neural Networks, 2021	57	2021
Self supervised pre-training for large scale tabular data S Chitlangia, A Muralidhar, R Agarwal	6	2022
Scaling generative pre-training for user ad activity sequences S Chitlangia, KR Kesari, R Agarwal	3	2023
Actorq: Quantization for actor-learner distributed reinforcement learning M Lam, S Chitlangia, S Krishnan, Z Wan, G Barth-Maron, A Faust, ... update 400, 600, 2021	3	2021
Real-time detection of robotic traffic in online advertising A Muralidhar, S Chitlangia, R Agarwal, M Ahmed Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15551 …, 2023	1	2023
Learning explainable network request signatures for robot detection R Agarwal, S Chitlangia, A Muralidhar, A Niranjan, A Sharma, ...		2023

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