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Harit Vishwakarma
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2020 – today
- 2025
- [i12]Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolò Dalmasso, Natraj Raman, Sumitra Ganesh:
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs. CoRR abs/2501.00555 (2025) - 2024
- [c11]Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak:
Taming False Positives in Out-of-Distribution Detection with Human Feedback. AISTATS 2024: 1486-1494 - [c10]Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala:
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models. NeurIPS 2024 - [c9]Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak:
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling. NeurIPS 2024 - [i11]Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala:
OTTER: Improving Zero-Shot Classification via Optimal Transport. CoRR abs/2404.08461 (2024) - [i10]Harit Vishwakarma, Reid Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak:
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling. CoRR abs/2404.16188 (2024) - [i9]Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak:
Taming False Positives in Out-of-Distribution Detection with Human Feedback. CoRR abs/2404.16954 (2024) - 2023
- [c8]Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala:
Train 'n Trade: Foundations of Parameter Markets. NeurIPS 2023 - [c7]Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak:
Promises and Pitfalls of Threshold-based Auto-labeling. NeurIPS 2023 - [i8]Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala:
Train 'n Trade: Foundations of Parameter Markets. CoRR abs/2312.04740 (2023) - 2022
- [c6]Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Carl Roberts, Frederic Sala:
Universalizing Weak Supervision. ICLR 2022 - [c5]Harit Vishwakarma, Frederic Sala:
Lifting Weak Supervision To Structured Prediction. NeurIPS 2022 - [i7]Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak:
Good Data from Bad Models : Foundations of Threshold-based Auto-labeling. CoRR abs/2211.12620 (2022) - [i6]Harit Vishwakarma, Nicholas Roberts, Frederic Sala:
Lifting Weak Supervision To Structured Prediction. CoRR abs/2211.13375 (2022) - 2021
- [i5]Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Carl Roberts, Frederic Sala:
Universalizing Weak Supervision. CoRR abs/2112.03865 (2021) - 2020
- [c4]Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos:
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient. NeurIPS 2020 - [c3]Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos:
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. NeurIPS 2020 - [i4]Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos:
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient. CoRR abs/2006.07990 (2020) - [i3]Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos:
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. CoRR abs/2007.05084 (2020)
2010 – 2019
- 2019
- [c2]Dinesh Garg, Shajith Ikbal, Santosh K. Srivastava, Harit Vishwakarma, Hima P. Karanam, L. Venkata Subramaniam:
Quantum Embedding of Knowledge for Reasoning. NeurIPS 2019: 5595-5605 - 2018
- [c1]Sumit Bhatia
, Harit Vishwakarma:
Know Thy Neighbors, and More!: Studying the Role of Context in Entity Recommendation. HT 2018: 87-95 - 2017
- [i2]Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Dennis Wei:
An End-To-End Machine Learning Pipeline That Ensures Fairness Policies. CoRR abs/1710.06876 (2017) - [i1]Rakesh Rameshrao Pimplikar, Kushal Mukherjee, Gyana R. Parija, Harit Vishwakarma, Ramasuri Narayanam, Sarthak Ahuja, Rohith Dwarakanath Vallam, Ritwik Chaudhuri, Joydeep Mondal:
Cogniculture: Towards a Better Human-Machine Co-evolution. CoRR abs/1712.03724 (2017)
Coauthor Index

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last updated on 2025-02-07 23:46 CET by the dblp team
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