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Steve Drew

University of Calgary

University Drive

Calgary, T2N 1N4

Canada

  • University of Calgary

SCHOLARLY PAPERS

4

DOWNLOADS

191

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Idmap: Adaptive Selection for Reconstructing Instance-Dependent Noise Labels

Number of pages: 27 Posted: 15 Sep 2023
Jie Yang, Xiaoguang Niu, Yuanzhuo Xu, Zejun Zhang, Guangyi Guo, Steve Drew and Ruizhi Chen
Wuhan University, Wuhan University, affiliation not provided to SSRN, University of Southern California, affiliation not provided to SSRN, University of Calgary and Wuhan University
Downloads 69 (883,195)

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Instance-dependent noise, label reconstruction, sample selection, identity mapping

2.

Full-Stage Augmentation for Exemplar-Free Class-Incremental Learning

Number of pages: 33 Posted: 14 Mar 2024
Shuyang Li, Jie Yang, Lei Song, Zejun Zhang, Steve Drew and Xiaoguang Niu
Wuhan University, Wuhan University, affiliation not provided to SSRN, University of Southern California, University of Calgary and Wuhan University
Downloads 65 (924,743)

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Exemplar-free class-incremental learning, self-supervised multitask learning, training-time augmentation, test-time augmentation

3.

Privacy-Preserving Federated Analysis Reproduces Non-Inferiority Results from the AcT Multicentre Stroke Trial

Number of pages: 14 Posted: 24 Mar 2026
Yunkai Bao, Zainab Saad, Kaue Duarte, Farhan Abbas, Tolulope Sajobi, Jessalyn K. Holodinsky, Bijoy K. Menon and Steve Drew
University of Calgary, University of Calgary, University of Calgary, University of Calgary, University of Calgary, University of Calgary, University of Calgary and University of Calgary
Downloads 42 (1,157,785)

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federated analysis, federated learning, cross-jurisdictional evidence generation, non-inferiority analysis

4.

Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks

Number of pages: 25 Posted: 05 Jul 2024
Fan Dong, Henry Leung and Steve Drew
University of Calgary, University of Calgary and University of Calgary
Downloads 15 (1,500,778)

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Federated learning, Weighted averaging, Heterogeneity, Variance, Fully homomorphic encryption