11 citations · 20 across the 8 of their papers we have counts for
4 papers · 1 filter
Optimizing Data Collection for Machine Learning
Rafid Mahmood, James Lucas, Jose M. Alvarez +2
Modern deep learning systems require huge data sets to achieve impressive performance, but there is little guidance on how much or what kind of data to collect. Over-collecting dat…
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach
Rafid Mahmood, Sanja Fidler, Marc T. Law
Active learning is the process of training a model with limited labeled data by selecting a core subset of an unlabeled data pool to label. The large scale of data sets used in dee…
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks
Rafid Mahmood, Aaron Babier, Andrea McNiven +2
Knowledge-based planning (KBP) is an automated approach to radiation therapy treatment planning that involves predicting desirable treatment plans before they are then corrected to…
Learning to Optimize Contextually Constrained Problems for Real-Time Decision-Generation
Aaron Babier, Timothy C. Y. Chan, Adam Diamant +1
The topic of learning to solve optimization problems has received interest from both the operations research and machine learning communities. In this work, we combine techniques f…