The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help. - Danula Hettiachchi; Mike Schaekermann; Tristan McKinney; Matthew Lease (Proc. ACM Hum. Comput. Interact., 2021)

Exploiting Invariance in Training Deep Neural Networks. - Chengxi Ye; Xiong Zhou; Tristan McKinney; Yanfeng Liu; Qinggang Zhou; Fedor Zhdanov (AAAI, 2022)

Improving self-supervised representation learning via sequential adversarial masking. - Dylan Sam; Min Bai; Tristan McKinney; Li Erran Li (CoRR, 2022)

Snapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling. - Alex C. Williams; Min Bai; Jonathan Buck; Tristan J. McKinney; Amy Rechkemmer; Koushik Kalyanaraman; Matthew Lease; Patrick Haffner; Xiong Zhou; Li Erran Li (IUI, 2024)