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Maohao Shen
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2020 – today
- 2024
- [c7]Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh:
Thermometer: Towards Universal Calibration for Large Language Models. ICML 2024 - [c6]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell:
Group Fairness with Uncertain Sensitive Attributes. ISIT 2024: 208-213 - [i9]Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell:
Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions. CoRR abs/2402.06160 (2024) - [i8]Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh:
Thermometer: Towards Universal Calibration for Large Language Models. CoRR abs/2403.08819 (2024) - [i7]Maohao Shen, Shun Zhang, Jilong Wu, Zhiping Xiu, Ehab A. AlBadawy, Yiting Lu, Mike Seltzer, Qing He:
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation. CoRR abs/2410.20336 (2024) - 2023
- [c5]Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. AAAI 2023: 9772-9781 - [c4]Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. EACL (Findings) 2023: 2371-2384 - [c3]Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation. ICML 2023: 30976-30991 - [i6]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell:
Group Fairness with Uncertainty in Sensitive Attributes. CoRR abs/2302.08077 (2023) - [i5]Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. CoRR abs/2305.00593 (2023) - 2022
- [i4]Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. CoRR abs/2202.00796 (2022) - [i3]Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo:
Batch Active Learning from the Perspective of Sparse Approximation. CoRR abs/2211.00246 (2022) - [i2]Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. CoRR abs/2212.07359 (2022) - 2021
- [c2]Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo:
Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation. ISBI 2021: 1269-1273 - 2020
- [c1]Bowen Jiang, Maohao Shen:
Dimensionality Reduction Via Diffusion Map Improved With Supervised Linear Projection. ICIP 2020: 1796-1800 - [i1]Bowen Jiang, Maohao Shen:
Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection. CoRR abs/2008.03440 (2020)
Coauthor Index
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last updated on 2024-11-30 00:18 CET by the dblp team
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