Validation free and replication robust volume-based data valuation X Xu, Z Wu, CS Foo, BKH Low Advances in Neural Information Processing Systems 34, 10837-10848, 2021 | 55 | 2021 |
DAVINZ: Data Valuation using Deep Neural Networks at Initialization Z Wu, Y Shu, BKH Low International Conference on Machine Learning, 24150-24176, 2022 | 47 | 2022 |
Unifying and boosting gradient-based training-free neural architecture search Y Shu, Z Dai, Z Wu, BKH Low Advances in Neural Information Processing Systems 35, 33001-33015, 2022 | 27 | 2022 |
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers X Lin, Z Wu, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low Forty-first International Conference on Machine Learning, 0 | 11* | |
Trusted-maximizers entropy search for efficient Bayesian optimization QP Nguyen, Z Wu, BKH Low, P Jaillet Uncertainty in Artificial Intelligence, 1486-1495, 2021 | 10 | 2021 |
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery X Xu, Z Wu, A Verma, CS Foo, BKH Low International Conference on Artificial Intelligence and Statistics, 4033-4057, 2023 | 9 | 2023 |
Localized Zeroth-Order Prompt Optimization W Hu, Y Shu, Z Yu, Z Wu, X Lin, Z Dai, SK Ng, BKH Low arXiv preprint arXiv:2403.02993, 2024 | 2 | 2024 |
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars Z Wu, X Lin, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low arXiv preprint arXiv:2405.16122, 2024 | 1 | 2024 |
Data valuation in federated learning Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ... Federated Learning, 281-296, 2024 | 1 | 2024 |
Fairness in federated learning X Lin, X Xu, Z Wu, RHL Sim, SK Ng, CS Foo, P Jaillet, TN Hoang, ... Federated Learning, 143-160, 2024 | 1 | 2024 |
Incentive-Aware Federated Learning with Training-Time Model Rewards Z Wu, MM Amiri, R Raskar, BKH Low The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |
Data-Centric AI in the Age of Large Language Models X Xu, Z Wu, R Qiao, A Verma, Y Shu, J Wang, X Niu, Z He, J Chen, Z Zhou, ... arXiv preprint arXiv:2406.14473, 2024 | | 2024 |
Incentives in federated learning RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ... Federated Learning, 299-309, 2024 | | 2024 |
Distributionally Robust Data Valuation X Lin, X Xu, Z Wu, SK Ng, BKH Low Forty-first International Conference on Machine Learning, 0 | | |