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Tristan McKinney

Tristan J. McKinney

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2020 – today

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2024
[c2]
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  dblp key:
  - conf/iui/WilliamsBBMRKLH24
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  - https://dblp.org/rec/conf/iui/WilliamsBBMRKLH24
Alex C. Williams, Min Bai, Jonathan Buck, Tristan J. McKinney, Amy Rechkemmer, Koushik Kalyanaraman, Matthew Lease, Patrick Haffner, Xiong Zhou, Li Erran Li:
Snapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling. IUI 2024: 471-488
2022
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  - conf/aaai/YeZMLZZ22
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Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov:
Exploiting Invariance in Training Deep Neural Networks. AAAI 2022: 8849-8856
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  - journals/corr/abs-2212-08277
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Dylan Sam, Min Bai, Tristan McKinney, Li Erran Li:
Improving self-supervised representation learning via sequential adversarial masking. CoRR abs/2212.08277 (2022)
2021
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  - journals/pacmhci/HettiachchiSML21
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Danula Hettiachchi, Mike Schaekermann, Tristan McKinney, Matthew Lease:
The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 332:1-332:26 (2021)
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  - journals/corr/abs-2103-16634
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Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov:
Exploiting Invariance in Training Deep Neural Networks. CoRR abs/2103.16634 (2021)
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  - journals/corr/abs-2105-09457
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Danula Hettiachchi, Mike Schaekermann, Tristan McKinney, Matthew Lease:
The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help. CoRR abs/2105.09457 (2021)

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