| ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning K Kuo, A Ostuni, E Horishny, MJ Curry, S Dooley, P Chiang, T Goldstein, ... arXiv preprint arXiv:2010.06398, 2020 | 35 | 2020 |
| Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays K Kuo, M Carpuat Proceedings of the Second Workshop on Figurative Language Processing, 192-196, 2020 | 12 | 2020 |
| Federated LoRA with Sparse Communication K Kuo, A Raje, K Rajesh, V Smith arXiv preprint arXiv:2406.05233, 2024 | 8 | 2024 |
| On Noisy Evaluation in Federated Hyperparameter Tuning K Kuo, P Thaker, M Khodak, J Nguyen, D Jiang, A Talwalkar, V Smith Proceedings of the Sixth Conference on Machine Learning and Systems, 2022 | 6 | 2022 |
| Sparsity for Communication-Efficient LoRA K Kuo, A Raje, K Rajesh, V Smith 5th Workshop on practical ML for limited/low resource settings, 2024 | 2 | 2024 |
| Implementing the “Enhancing Music Addressability” API for MusicXML K Kuo, R Viglianti Music Encoding Conference Proceedings 2020, 2020 | 1 | 2020 |
| NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA M Tobaben, MA Souibgui, R Tito, K Nguyen, R Kerkouche, K Jung, ... arXiv preprint arXiv:2411.03730, 2024 | | 2024 |