Trustworthy Transfer Learning: Transferability and Trustworthiness

Author:

Wu Jun1ORCID,He Jingrui1ORCID

Affiliation:

1. University of Illinois at Urbana-Champaign, Champaign, IL, USA

Publisher

ACM

Reference15 articles.

1. Bang An , Zora Che , Mucong Ding , and Furong Huang . 2022. Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. NeurIPS ( 2022 ). Bang An, Zora Che, Mucong Ding, and Furong Huang. 2022. Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. NeurIPS (2022).

2. Debarghya Mukherjee Felix Petersen Mikhail Yurochkin and Yuekai Sun. 2022. Domain Adaptation meets Individual Fairness. And they get along.. In NeurIPS. Debarghya Mukherjee Felix Petersen Mikhail Yurochkin and Yuekai Sun. 2022. Domain Adaptation meets Individual Fairness. And they get along.. In NeurIPS.

3. Arun Reddy Nelakurthi , Ross Maciejewski , and Jingrui He. 2018. Source free domain adaptation using an off-the-shelf classifier . In Big Data . IEEE , 140--145. Arun Reddy Nelakurthi, Ross Maciejewski, and Jingrui He. 2018. Source free domain adaptation using an off-the-shelf classifier. In Big Data. IEEE, 140--145.

4. Behnam Neyshabur Hanie Sedghi and Chiyuan Zhang. 2020. What is being transferred in transfer learning?. In NeurIPS. 512--523. Behnam Neyshabur Hanie Sedghi and Chiyuan Zhang. 2020. What is being transferred in transfer learning?. In NeurIPS. 512--523.

5. Yilmazcan Ozyurt Stefan Feuerriegel and Ce Zhang. 2023. Contrastive Learning for Unsupervised Domain Adaptation of Time Series. In ICLR. Yilmazcan Ozyurt Stefan Feuerriegel and Ce Zhang. 2023. Contrastive Learning for Unsupervised Domain Adaptation of Time Series. In ICLR.

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1. Transfer Learning Induced Communication Enhancement for People with varied Disabilities;Proceedings of the 5th International Conference on Information Management & Machine Intelligence;2023-11-23

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