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John Henning
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2020 – today
- 2023
- [c4]Lee Martie, Jessie Rosenberg, Veronique Demers, Gaoyuan Zhang, Onkar Bhardwaj, John Henning, Aditya Prasad, Matt Stallone, Ja Young Lee, Lucy Yip, Damilola Adesina, Elahe Paikari, Oscar Resendiz, Sarah Shaw, David Cox:
Rapid Development of Compositional AI. ICSE (NIER) 2023: 78-83 - [c3]Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan H. Greenewald, Akash Srivastava:
Post-processing Private Synthetic Data for Improving Utility on Selected Measures. NeurIPS 2023 - [i2]Lee Martie, Jessie Rosenberg, Veronique Demers, Gaoyuan Zhang, Onkar Bhardwaj, John Henning, Aditya Prasad, Matt Stallone, Ja Young Lee, Lucy Yip, Damilola Adesina, Elahe Paikari, Oscar Resendiz, Sarah Shaw, David Cox:
Rapid Development of Compositional AI. CoRR abs/2302.05941 (2023) - [i1]Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan H. Greenewald, Akash Srivastava:
Post-processing Private Synthetic Data for Improving Utility on Selected Measures. CoRR abs/2305.15538 (2023) - 2020
- [c2]Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris:
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops 2020: 1009-1018
2010 – 2019
- 2018
- [c1]Mandis Beigi, Lisa M. Brown, Quanfu Fan, John Henning, Chung-Ching Lin, Honghui Shi, Chiao-Fe Shu, Rogério Schmidt Feris:
Object-Centric Spatio-Temporal Activity Detection and Recognition. TRECVID 2018 - 2017
- [j1]Steven T. Hill, Ramcharan Sudarsanam, John Henning, David Hendrix:
HopBase: a unified resource for Humulus genomics. Database J. Biol. Databases Curation 2017: bax009 (2017)
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