2 citations · 2 across the 3 of their papers we have counts for
3 papers
Improving self-supervised representation learning via sequential adversarial masking
Dylan Sam, Min Bai, Tristan McKinney +1
Recent methods in self-supervised learning have demonstrated that masking-based pretext tasks extend beyond NLP, serving as useful pretraining objectives in computer vision. Howeve…
The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help
Danula Hettiachchi, Mike Schaekermann, Tristan McKinney +1
We consider a class of variable effort human annotation tasks in which the number of labels required per item can greatly vary (e.g., finding all faces in an image, named entities…
Exploiting Invariance in Training Deep Neural Networks
Chengxi Ye, Xiong Zhou, Tristan McKinney +3
Inspired by two basic mechanisms in animal visual systems, we introduce a feature transform technique that imposes invariance properties in the training of deep neural networks. Th…