Maohao Shen

According to our database1, Maohao Shen authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Thermometer: Towards Universal Calibration for Large Language Models.
CoRR, 2024

Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions.
CoRR, 2024

2023
Group Fairness with Uncertainty in Sensitive Attributes.
CoRR, 2023

On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Reliable Gradient-free and Likelihood-free Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Batch Active Learning from the Perspective of Sparse Approximation.
CoRR, 2022

On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation.
CoRR, 2022

2021
Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Dimensionality Reduction Via Diffusion Map Improved With Supervised Linear Projection.
Proceedings of the IEEE International Conference on Image Processing, 2020


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