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Harit Vishwakarma
Harit Vishwakarma
CS PhD Candidate, University of Wisconsin Madison
Verified email at cs.wisc.edu - Homepage
Title
Cited by
Cited by
Year
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
7322020
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
1212020
Quantum embedding of knowledge for reasoning
D Garg, S Ikbal, SK Srivastava, H Vishwakarma, H Karanam, ...
Advances in Neural Information Processing Systems 32, 2019
622019
Universalizing weak supervision
C Shin, W Li, H Vishwakarma, N Roberts, F Sala
International Conference on Learning Representations (ICLR) 2022, 2021
412021
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
252017
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
112018
Promises and pitfalls of threshold-based auto-labeling
H Vishwakarma, H Lin, F Sala, R Korlakai Vinayak
Advances in Neural Information Processing Systems 36, 2023
102023
Cogniculture: Towards a better human-machine co-evolution
RR Pimplikar, K Mukherjee, G Parija, H Vishwakarma, R Narayanam, ...
arXiv preprint arXiv:1712.03724, 2017
72017
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
62023
Lifting Weak Supervision To Structured Prediction
H Vishwakarma, F Sala
Advances in Neural Information Processing Systems, 35, 2022
52022
Taming False Positives in Out-of-Distribution Detection with Human Feedback
H Vishwakarma, H Lin, RK Vinayak
arXiv preprint arXiv:2404.16954, 2024
4*2024
Train'n Trade: Foundations of Parameter Markets
TH Huang, H Vishwakarma, F Sala
Advances in Neural Information Processing Systems 36, 2023
32023
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs
H Vishwakarma, A Mishler, T Cook, N Dalmasso, N Raman, S Ganesh
arXiv preprint arXiv:2501.00555, 2024
1*2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
H Vishwakarma, SJ Tay, SSS Namburi, F Sala, RK Vinayak
Advances in Neural Information Processing Systems 37, 2024
12024
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
C Shin, J Zhao, S Cromp, H Vishwakarma, F Sala
arXiv preprint arXiv:2404.08461, 2024
12024
PabLO: Improving Semi-Supervised Learning with Pseudolabeling Optimization
H Vishwakarma, Y Chen, SSS Namburi, SJ Tay, RK Vinayak, F Sala
ICML 2024 Data Centric Machine Learning Workshop, 2024
2024
Prune'n Predict: Optimizing LLM Decision-making with Conformal Prediction
H Vishwakarma, A Mishler, T Cook, N Dalmasso, N Raman, S Ganesh
ICLR Workshop: Quantify Uncertainty and Hallucination in Foundation Models …, 0
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