Learning with noisy labels revisited: A study using real-world human annotations J Wei, Z Zhu, H Cheng, T Liu, G Niu, Y Liu ICLR 2022, 2022 | 215 | 2022 |
To smooth or not? when label smoothing meets noisy labels J Wei, H Liu, T Liu, G Niu, M Sugiyama, Y Liu ICML 2022 (Long Presentation), 2022 | 75* | 2022 |
When optimizing -divergence is robust with label noise J Wei, Y Liu ICLR 2021, 2021 | 49 | 2021 |
To aggregate or not? learning with separate noisy labels J Wei, Z Zhu, T Luo, E Amid, A Kumar, Y Liu KDD 2023, 2023 | 25 | 2023 |
Incentives for federated learning: a hypothesis elicitation approach Y Liu, J Wei ICML 2020 (workshop), 2020 | 20 | 2020 |
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training J Wei, M Liu, J Luo, A Zhu, J Davis, Y Liu ECCV 2022, 2022 | 19* | 2022 |
Distributionally Robust Post-hoc Classifiers under Prior Shifts J Wei, H Narasimhan, E Amid, WS Chu, Y Liu, A Kumar ICLR 2023, 2023 | 13 | 2023 |
Human-instruction-free llm self-alignment with limited samples H Guo, Y Yao, W Shen, J Wei, X Zhang, Z Wang, Y Liu arXiv preprint arXiv:2401.06785, 2024 | 6 | 2024 |
Do humans and machines have the same eyes? human-machine perceptual differences on image classification M Liu, J Wei, Y Liu, J Davis arXiv preprint arXiv:2304.08733, 2023 | 6 | 2023 |
Fairness improves learning from noisily labeled long-tailed data J Wei, Z Zhu, G Niu, T Liu, S Liu, M Sugiyama, Y Liu arXiv preprint arXiv:2303.12291, 2023 | 6 | 2023 |
Measuring and reducing llm hallucination without gold-standard answers via expertise-weighting J Wei, Y Yao, JF Ton, H Guo, A Estornell, Y Liu arXiv preprint arXiv:2402.10412, 2024 | 5 | 2024 |
Sample Elicitation J Wei, Z Fu, Y Liu, X Li, Z Yang, Z Wang AISTATS 2021, 2692-2700, 2021 | 4 | 2021 |
Auditing for Federated Learning: A Model Elicitation Approach Y Liu, R Lou, J Wei Proceedings of the Fifth International Conference on Distributed Artificial …, 2023 | 2 | 2023 |
Consensus on dynamic stochastic block models: Fast convergence and phase transitions H Wang, J Wei, Z Zhang arXiv preprint arXiv:2209.03999, 2022 | 1 | 2022 |
Harnessing Business and Media Insights with Large Language Models Y Bao, AP Shah, N Narang, J Rivers, R Maksey, L Guan, LN Barrere, ... arXiv preprint arXiv: 2406.06559, 2024 | | 2024 |
Incentivizing Data Collection from Heterogeneous Clients in Federated Learning J Pang, J Wei, C Qian, Y Liu | | |