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04/30/2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
Due to privacy or commercial constraints, large pre-trained language mod...
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02/16/2023
Group Fairness with Uncertainty in Sensitive Attributes
We consider learning a fair predictive model when sensitive attributes a...
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12/14/2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
It is known that neural networks have the problem of being over-confiden...
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11/01/2022
Batch Active Learning from the Perspective of Sparse Approximation
Active learning enables efficient model training by leveraging interacti...
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02/01/2022
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation
Due to privacy, storage, and other constraints, there is a growing need ...
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08/08/2020