3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.CV2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
Soham Gadgil, Mark Endo, Emily Wen +2
Medical image segmentation models are typically supervised by expert annotations at the pixel-level, which can be expensive to acquire. In this work, we propose a method that combi…
cs.LG2020★ 3 cited
Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning
Soham Gadgil, Yunfeng Xin, Chengzhe Xu
Reinforcement Learning (RL) is an area of machine learning concerned with enabling an agent to navigate an environment with uncertainty in order to maximize some notion of cumulati…