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Yuchen Zeng
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LIFT: Language-interfaced fine-tuning for non-language machine learning tasks
T Dinh*, Y Zeng*, R Zhang, Z Lin, S Rajput, M Gira, J Sohn, ...
NeurIPS 2022, 2022
582022
Multiway clustering via tensor block models
M Wang, Y Zeng
NeurIPS 2019, 2019
532019
Improving fairness via federated learning
Y Zeng, H Chen, K Lee
arXiv preprint arXiv:2110.15545, 2021
472021
The expressive power of low-rank adaptation
Y Zeng, K Lee
ICLR 2024, 2023
122023
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
O Guldogan*, Y Zeng*, J Sohn, R Pedarsani, K Lee
ICLR 2023, 2023
42023
Outlier-Robust Group Inference via Gradient Space Clustering
Y Zeng, K Greenewald, K Lee, J Solomon, M Yurochkin
arXiv preprint arXiv:2210.06759, 2022
22022
Can MLLMs Perform Text-to-Image In-Context Learning?
Y Zeng*, W Kang*, Y Chen, HI Koo, K Lee
arXiv preprint, 2024
12024
Coded Prompts for Large Language Models
Z Lin, B Chen, Y Zeng, K Lee
NeurIPS 2023 R0-FoMo Workshop, 2023
2023
Federated Learning with Local Fairness Constraints
Y Zeng, H Chen, K Lee
2023 IEEE International Symposium on Information Theory (ISIT), 1937-1942, 2023
2023
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Artikelen 1–9