Rachael Hwee Ling Sim

According to our database1, Rachael Hwee Ling Sim authored at least 10 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Data-Centric AI in the Age of Large Language Models.
CoRR, 2024

Incentives in Private Collaborative Machine Learning.
CoRR, 2024

Deletion-Anticipative Data Selection with a Limited Budget.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position Paper: Data-Centric AI in the Age of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Incentives in Private Collaborative Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Probably Approximate Shapley Fairness with Applications in Machine Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Collaborative Bayesian Optimization with Fair Regret.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Collaborative Machine Learning with Incentive-Aware Model Rewards.
Proceedings of the 37th International Conference on Machine Learning, 2020


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