Browsing Mathematics (Faculty of) by Subject "active learning"
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Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning
(University of Waterloo, 2020-01-23)Image semantic segmentation is an important problem in computer vision. However, Training a deep neural network for semantic segmentation in supervised learning requires expensive manual labeling. Active learning (AL) ... -
Asking for Help with a Cost in Reinforcement Learning
(University of Waterloo, 2020-05-15)Reinforcement learning (RL) is a powerful tool for developing intelligent agents, and the use of neural networks makes RL techniques more scalable to challenging real-world applications, from task-oriented dialogue systems ...