Harit Vishwakarma
Harit Vishwakarma
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Attack of the tails: Yes, you really can backdoor federated learning
H Wang, K Sreenivasan, S Rajput, H Vishwakarma, S Agarwal, J Sohn, ...
Advances in Neural Information Processing Systems 33, 2020
Optimal lottery tickets via subsetsum: Logarithmic over-parameterization is sufficient
A Pensia, S Rajput, A Nagle, H Vishwakarma, D Papailiopoulos
Advances in Neural Information Processing Systems 33, 2020
Quantum embedding of knowledge for reasoning
D Garg, S Ikbal, SK Srivastava, H Vishwakarma, H Karanam, ...
Advances in Neural Information Processing Systems 32, 2019
Universalizing weak supervision
C Shin, W Li, H Vishwakarma, N Roberts, F Sala
International Conference on Learning Representations (ICLR) 2022, 2021
An end-to-end machine learning pipeline that ensures fairness policies
S Shaikh, H Vishwakarma, S Mehta, KR Varshney, KN Ramamurthy, ...
Bloomberg Data for Good Exchange, 2017
Know Thy Neighbors, and More! Studying the Role of Context in Entity Recommendation
S Bhatia, H Vishwakarma
Proceedings of the 29th ACM Conference on Hypertext and Social Media, 2018
Cogniculture: Towards a better human-machine co-evolution
RR Pimplikar, K Mukherjee, G Parija, H Vishwakarma, R Narayanam, ...
arXiv preprint arXiv:1712.03724, 2017
Lifting Weak Supervision To Structured Prediction
H Vishwakarma, F Sala
Advances in Neural Information Processing Systems, 2022
Scriptorium WS: A Code Generation Assistant for Weak Supervision
TH Huang, C Cao, S Schoenberg, H Vishwakarma, N Roberts, F Sala
DL4C Workshop, ICLR 2023, 2023
Good Data from Bad Models: Foundations of Threshold-based Auto-labeling
H Vishwakarma, H Lin, F Sala, RK Vinayak
arXiv preprint arXiv:2211.12620, 2022
Adaptive Out-of-Distribution Detection with Human-in-the-Loop
H Lin, H Vishwakarma, RK Vinayak
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