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2020 – today
- 2023
[j2]Pritam Anand
, Shantanu Jain, Harsh Savaliya:
New Improved Wave Hybrid Models for Short-Term Significant Wave Height Forecasting. IEEE Access 11: 109841-109855 (2023)- [c7]Daniel Zeiberg, Shantanu Jain, Predrag Radivojac:
Leveraging Structure for Improved Classification of Grouped Biased Data. AAAI 2023: 11113-11120 - 2022
- [i6]Daniel Zeiberg, Shantanu Jain, Predrag Radivojac:
Leveraging Structure for Improved Classification of Grouped Biased Data. CoRR abs/2212.03697 (2022) - 2021
- [i5]Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba:
Evaluating Large Language Models Trained on Code. CoRR abs/2107.03374 (2021) - [i4]Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, John Schulman:
WebGPT: Browser-assisted question-answering with human feedback. CoRR abs/2112.09332 (2021) - 2020
- [c6]Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac:
Class Prior Estimation with Biased Positives and Unlabeled Examples. AAAI 2020: 4255-4263 - [c5]Daniel Zeiberg, Shantanu Jain, Predrag Radivojac:
Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting. AAAI 2020: 6729-6736
2010 – 2019
- 2019
- [c4]Rashika Ramola, Shantanu Jain, Predrag Radivojac:
Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies. PSB 2019: 124-135 - 2018
- [c3]Shantanu Jain, Angshul Majumdar:
Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems. IJCNN 2018: 1-8 - 2017
- [c2]Shantanu Jain, Martha White, Predrag Radivojac:
Recovering True Classifier Performance in Positive-Unlabeled Learning. AAAI 2017: 2066-2072 - [i3]Shantanu Jain, Martha White, Predrag Radivojac:
Recovering True Classifier Performance in Positive-Unlabeled Learning. CoRR abs/1702.00518 (2017) - 2016
- [j1]Jose Lugo-Martinez, Vikas Pejaver, Kymberleigh A. Pagel, Shantanu Jain, Matthew E. Mort, David N. Cooper, Sean D. Mooney, Predrag Radivojac:
The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited Disease. PLoS Comput. Biol. 12(8) (2016) - [c1]Shantanu Jain, Martha White, Predrag Radivojac:
Estimating the class prior and posterior from noisy positives and unlabeled data. NIPS 2016: 2685-2693 - [i2]Shantanu Jain, Martha White, Michael W. Trosset, Predrag Radivojac:
Nonparametric semi-supervised learning of class proportions. CoRR abs/1601.01944 (2016) - [i1]Shantanu Jain, Martha White, Predrag Radivojac:
Estimating the class prior and posterior from noisy positives and unlabeled data. CoRR abs/1606.08561 (2016)
Coauthor Index
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