Paroma Varma
Paroma Varma
Graduate Student, Stanford University
Geverifieerd e-mailadres voor
Geciteerd door
Geciteerd door
Parameterizing neural power spectra. bioRxiv
M Haller, T Donoghue, E Peterson, P Varma, P Sebastian, R Gao, T Noto, ...
Epub ahead of print 11, 2018
Parameterizing neural power spectra into periodic and aperiodic components
T Donoghue, M Haller, EJ Peterson, P Varma, P Sebastian, R Gao, T Noto, ...
Nature neuroscience 23 (12), 1655-1665, 2020
Training Classifiers with Natural Language Explanations.
P Liang, C Ré, B Hancock, P Varma, S Wang, M Bringmann
ACL, 1884-1895, 2018
Socratic Learning: Correcting Misspecified Generative Models using Discriminative Models
P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
arXiv preprint arXiv:1610.08123, 2016
Snuba: Automating weak supervision to label training data
P Varma, C Ré
Proceedings of the VLDB Endowment. International Conference on Very Large …, 2018
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
JA Fries, P Varma, VS Chen, K Xiao, H Tejeda, P Saha, J Dunnmon, ...
Nature communications 10 (1), 1-10, 2019
Scene graph prediction with limited labels
VS Chen, P Varma, R Krishna, M Bernstein, C Re, L Fei-Fei
Proceedings of the IEEE International Conference on Computer Vision, 2580-2590, 2019
Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery
J Zhong, L Tian, P Varma, L Waller
IEEE Transactions on Computational Imaging 2 (3), 310-322, 2016
Learning dependency structures for weak supervision models
P Varma, F Sala, A He, A Ratner, C Ré
International Conference on Machine Learning, 6418-6427, 2019
Inferring Generative Model Structure with Static Analysis
P Varma, BD He, P Bajaj, N Khandwala, I Banerjee, D Rubin, C Ré
Advances in neural information processing systems, 240-250, 2017
Parameterizing neural power spectra. biorxiv,(299859)
M Haller, T Donoghue, E Peterson, P Varma, P Sebastian, R Gao, T Noto, ...
Weak Supervision: The New Programming Paradigm for Machine Learning
A Ratner, S Bach, P Varma, C Ré
Jul, 2017
Flipper: A systematic approach to debugging training sets
P Varma, D Iter, C De Sa, C Ré
Proceedings of the 2nd Workshop on Human-in-the-Loop Data Analytics, 1-5, 2017
Software 2.0 and Snorkel: Beyond Hand-Labeled Data
C Ré
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Multi-resolution weak supervision for sequential data
P Varma, F Sala, S Sagawa, J Fries, D Fu, S Khattar, A Ramamoorthy, ...
Advances in Neural Information Processing Systems, 192-203, 2019
Near-Eye Display Gaze Tracking via Convolutional Neural Networks
R Konrad, S Shrestha, P Varma
Multi-resolution weak supervision for sequential data
F Sala, P Varma, J Fries, DY Fu, S Sagawa, S Khattar, A Ramamoorthy, ...
arXiv preprint arXiv:1910.09505, 2019
Multi-frame weak supervision to label wearable sensor data
S Khattar, H O’Day, P Varma, J Fries, J Hicks, S Delp, H Bronte-Stewart, ...
ICML Time Series Workshop, 2019
Exploring the Utility of Developer Exhaust
J Zhang, M Lam, S Wang, P Varma, L Nardi, K Olukotun, C Ré
Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018
Efficient 3D Deconvolution Microscopy with Proximal Algorithms
P Varma, G Wetzstein
Imaging Systems and Applications, JT3A. 44, 2016
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