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Shital Shah
Shital Shah
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Airsim: High-fidelity visual and physical simulation for autonomous vehicles
S Shah, D Dey, C Lovett, A Kapoor
Field and Service Robotics: Results of the 11th International Conference …, 2018
25532018
Textbooks are all you need
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
arXiv preprint arXiv:2306.11644, 2023
4312023
Phi-3 technical report: A highly capable language model locally on your phone
M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ...
arXiv preprint arXiv:2404.14219, 2024
4102024
Submodular trajectory optimization for aerial 3d scanning
M Roberts, D Dey, A Truong, S Sinha, S Shah, A Kapoor, P Hanrahan, ...
Proceedings of the IEEE International Conference on Computer Vision, 5324-5333, 2017
1622017
Safe reinforcement learning via curriculum induction
M Turchetta, A Kolobov, S Shah, A Krause, A Agarwal
Advances in Neural Information Processing Systems 33, 12151-12162, 2020
1052020
Polling protocol for automatic load limiting
S Shah
US Patent 8,510,374, 2013
952013
Airsim-w: A simulation environment for wildlife conservation with uavs
E Bondi, D Dey, A Kapoor, J Piavis, S Shah, F Fang, B Dilkina, ...
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018
932018
Understanding failures of deep networks via robust feature extraction
S Singla, B Nushi, S Shah, E Kamar, E Horvitz
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
822021
BIRDSAI: A dataset for detection and tracking in aerial thermal infrared videos
E Bondi, R Jain, P Aggrawal, S Anand, R Hannaford, A Kapoor, J Piavis, ...
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020
782020
An empirical analysis of backward compatibility in machine learning systems
M Srivastava, B Nushi, E Kamar, S Shah, E Horvitz
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
582020
Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
British journal of surgery 108 (11), 1274-1292, 2021
482021
Aerial informatics and robotics platform
S Shah, D Dey, C Lovett, A Kapoor
Washigton: Microsoft Research, 2017
292017
A high-fidelity open embodied avatar with lip syncing and expression capabilities
D Aneja, D McDuff, S Shah
2019 International conference on multimodal interaction, 69-73, 2019
282019
Litetransformersearch: Training-free on-device search for efficient autoregressive language models
M Javaheripi, S Shah, S Mukherjee, TL Religa, CCT Mendes, ...
First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022
232022
Litetransformersearch: Training-free neural architecture search for efficient language models
M Javaheripi, G de Rosa, S Mukherjee, S Shah, T Religa, ...
Advances in Neural Information Processing Systems 35, 24254-24267, 2022
192022
Near Real-Time Detection of Poachers from Drones in AirSim.
E Bondi, A Kapoor, D Dey, J Piavis, S Shah, R Hannaford, A Iyer, L Joppa, ...
IJCAI, 5814-5816, 2018
192018
A system for real-time interactive analysis of deep learning training
S Shah, R Fernandez, S Drucker
EICS, 2019
152019
Core content of the medical school surgical curriculum: Consensus report from the association of surgeons in training (ASIT)
ASTM Student, D Baker, P Deekonda, J Glasbey, G Humm, H Mohan, ...
International Journal of Surgery 84, 186-193, 2020
142020
Fear: A simple lightweight method to rank architectures
D Dey, S Shah, S Bubeck
arXiv preprint arXiv:2106.04010, 2021
62021
Efficient Location-Based Entity Record Conflation
S Shah
US Patent App. 14/818,305, 2017
62017
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