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09/29/2021
Robust Temporal Ensembling for Learning with Noisy Labels
Successful training of deep neural networks with noisy labels is an esse...
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07/20/2019
Automated Surgical Activity Recognition with One Labeled Sequence
Prior work has demonstrated the feasibility of automated activity recogn...
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06/08/2018
Unsupervised Learning for Surgical Motion by Learning to Predict the Future
We show that it is possible to learn meaningful representations of surgi...
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08/06/2017
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization
One-shot pose estimation for tasks such as body joint localization, came...
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02/24/2017
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies
Recurrent neural networks (RNNs) have achieved state-of-the-art performa...
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12/01/2016
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Many prediction tasks contain uncertainty. In some cases, uncertainty is...
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06/20/2016
