Paroma Varma

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Generative Model

Classifier Training

Sequential Data

Top Venues

Proc. VLDB Endow.

Publications

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion (2023)
Matthias Boehm, Paroma Varma, Doris Xin
DEEM'22: Data Management for End-to-End Machine Learning. SIGMOD Conference (2022)
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)
Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré
Learning Dependency Structures for Weak Supervision Models. CoRR (2019)
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 (2019)
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)
Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction with Limited Labels. ICCV Workshops (2019)
Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré
Learning Dependency Structures for Weak Supervision Models. ICML (2019)
Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction with Limited Labels. CoRR (2019)
Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction With Limited Labels. ICCV (2019)
Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré
Training Classifiers with Natural Language Explanations. ACL (1) (2018)
Paroma Varma, Christopher Ré
Snuba: Automating Weak Supervision to Label Training Data. Proc. VLDB Endow. 12 (3) (2018)
Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré
Exploring the Utility of Developer Exhaust. DEEM@SIGMOD (2018)
Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré
Training Classifiers with Natural Language Explanations. CoRR (2018)
Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré
Flipper: A Systematic Approach to Debugging Training Sets. HILDA@SIGMOD (2017)
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)
Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré
Inferring Generative Model Structure with Static Analysis. CoRR (2017)
Jingshan Zhong, Lei Tian, Paroma Varma, Laura Waller
Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery. IEEE Trans. Computational Imaging 2 (3) (2016)
Rose Yu, Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré
Socratic Learning. CoRR (2016)