Paroma Varma

According to our database, Paroma Varma authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM).

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

DEEM'22: Data Management for End-to-End Machine Learning.

Matthias Boehm, Paroma Varma, Doris Xin

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2019

Multi-Resolution Weak Supervision for Sequential Data.

Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data.

Zhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Learning Dependency Structures for Weak Supervision Models.

Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré

Proceedings of the 36th International Conference on Machine Learning, 2019

Scene Graph Prediction with Limited Labels.

Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Snuba: Automating Weak Supervision to Label Training Data.

Paroma Varma, Christopher Ré

Proc. VLDB Endow., 2018

Exploring the Utility of Developer Exhaust.

Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré

Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

Training Classifiers with Natural Language Explanations.

Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Flipper: A Systematic Approach to Debugging Training Sets.

Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

Inferring Generative Model Structure with Static Analysis.

Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery.

Jingshan Zhong, Lei Tian, Paroma Varma, Laura Waller

IEEE Trans. Computational Imaging, 2016

Socratic Learning.

Rose Yu, Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré

CoRR, 2016