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Paroma Varma
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2020 – today
- 2023
- [c11]Matthias Boehm
, Madelon Hulsebos
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion 2023: 305-306 - 2022
- [c10]Matthias Boehm, Paroma Varma, Doris Xin:
DEEM'22: Data Management for End-to-End Machine Learning. SIGMOD Conference 2022: 2548-2549 - [e1]Matthias Boehm, Paroma Varma, Doris Xin:
DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, PA, USA, 12 June 2022. ACM 2022, ISBN 978-1-4503-9375-1 [contents]
2010 – 2019
- 2019
- [c9]Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein
Scene Graph Prediction With Limited Labels. ICCV 2019: 2580-2590 - [c8]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein
Scene Graph Prediction with Limited Labels. ICCV Workshops 2019: 1772-1782 - [c7]Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. ICML 2019: 6418-6427 - [c6]Zhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré:
Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data. IV 2019: 119-125 - [c5]Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré:
Multi-Resolution Weak Supervision for Sequential Data. NeurIPS 2019: 192-203 - [i6]Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. CoRR abs/1903.05844 (2019) - [i5]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. CoRR abs/1904.11622 (2019) - [i4]Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré:
Multi-Resolution Weak Supervision for Sequential Data. CoRR abs/1910.09505 (2019) - 2018
- [j2]Paroma Varma, Christopher Ré:
Snuba: Automating Weak Supervision to Label Training Data. Proc. VLDB Endow. 12(3): 223-236 (2018) - [c4]Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré:
Training Classifiers with Natural Language Explanations. ACL (1) 2018: 1884-1895 - [c3]Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun
Exploring the Utility of Developer Exhaust. DEEM@SIGMOD 2018: 7:1-7:7 - [i3]Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré:
Training Classifiers with Natural Language Explanations. CoRR abs/1805.03818 (2018) - 2017
- [c2]Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré:
Inferring Generative Model Structure with Static Analysis. NIPS 2017: 240-250 - [c1]Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré:
Flipper: A Systematic Approach to Debugging Training Sets. HILDA@SIGMOD 2017: 5:1-5:5 - [i2]Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré:
Inferring Generative Model Structure with Static Analysis. CoRR abs/1709.02477 (2017) - 2016
- [j1]Jingshan Zhong, Lei Tian
Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery. IEEE Trans. Computational Imaging 2(3): 310-322 (2016) - [i1]Rose Yu, Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré:
Socratic Learning. CoRR abs/1610.08123 (2016)
Coauthor Index
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