Harit Vishwakarma

According to our database1, Harit Vishwakarma authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Promises and Pitfalls of Threshold-based Auto-labeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train 'n Trade: Foundations of Parameter Markets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Lifting Weak Supervision To Structured Prediction.
CoRR, 2022

Good Data from Bad Models : Foundations of Threshold-based Auto-labeling.
CoRR, 2022

Lifting Weak Supervision To Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Universalizing Weak Supervision.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient.
CoRR, 2020

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Quantum Embedding of Knowledge for Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Know Thy Neighbors, and More!: Studying the Role of Context in Entity Recommendation.
Proceedings of the 29th on Hypertext and Social Media, 2018

2017
Cogniculture: Towards a Better Human-Machine Co-evolution.
CoRR, 2017

An End-To-End Machine Learning Pipeline That Ensures Fairness Policies.
CoRR, 2017


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