Harit Vishwakarma 个人学术档案

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	总计	2019 年至今
引用	775	768
h 指数	7	7
i10 指数	6	5

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Dimitris PapailiopoulosAssociate Professor, University of Wisconsin-Madison在 papail.io 的电子邮件经过验证
Shashank RajputResearch Scientist, MosaicML (Databricks)在 databricks.com 的电子邮件经过验证
Frederic SalaAssistant Professor, University of Wisconsin在 cs.wisc.edu 的电子邮件经过验证
Kangwook LeeUniversity of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
Hongyi WangSenior Project Scientist, CMU; Incoming Assistant Professor, Rutgers University在 andrew.cmu.edu 的电子邮件经过验证
Jy-yong SohnYonsei University在 yonsei.ac.kr 的电子邮件经过验证
Ankit PensiaIBM Research在 ibm.com 的电子邮件经过验证
Nicholas RobertsPhD student UW-Madison在 cs.wisc.edu 的电子邮件经过验证
Changho ShinUniversity of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
Dinesh GargIBM India Research Lab, Bangalore, India在 in.ibm.com 的电子邮件经过验证
Ramya Korlakai VinayakAssistant Professor, UW-Madison在 ece.wisc.edu 的电子邮件经过验证
Heguang LinUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
Sumit BhatiaSenior ML Scientist, Adobe Inc.在 adobe.com 的电子邮件经过验证
Kushal MukherjeeIBM Research在 in.ibm.com 的电子邮件经过验证
Tzu-Heng HuangPh.D. student, University of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
Sonia CrompPhD Student, University of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
Namburi GNVV Satya Sai SrinathUniversity Of Wisconsin Madison在 wisc.edu 的电子邮件经过验证
JITIAN ZHAOUniversity of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证

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Harit Vishwakarma

Graduate Student, University of Wisconsin Madison

在 cs.wisc.edu 的电子邮件经过验证 - 首页

Machine Learning Deep Learning Data-Centric AI Statistical Inference


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	538	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	100	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	55	2019
Universalizing weak supervision C Shin, W Li, H Vishwakarma, N Roberts, F Sala International Conference on Learning Representations (ICLR) 2022, 2021	34	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	22	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	10	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	7	2017
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	5*	2023
Lifting Weak Supervision To Structured Prediction H Vishwakarma, F Sala Advances in Neural Information Processing Systems, 2022	4	2022
Taming False Positives in Out-of-Distribution Detection with Human Feedback H Vishwakarma, H Lin, RK Vinayak arXiv preprint arXiv:2404.16954, 2024		2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling H Vishwakarma, SJ Tay, SSS Namburi, F Sala, RK Vinayak arXiv preprint arXiv:2404.16188, 2024		2024
OTTER: Improving Zero-Shot Classification via Optimal Transport C Shin, J Zhao, S Cromp, H Vishwakarma, F Sala arXiv preprint arXiv:2404.08461, 2024		2024
Train'n Trade: Foundations of Parameter Markets TH Huang, H Vishwakarma, F Sala Advances in Neural Information Processing Systems 36, 2023		2023
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		2023

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