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Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers
To demonstrate the effectiveness of our model designs, we perform extensive experiments with CodeSearchNet which contains template functions and CoNaLa which contains Stack Overflow intent-snippet pairs.
Automating Image Analysis by Annotating Landmarks with Deep Neural Networks
Image and video analysis is often a crucial step in the study of animal behavior and kinematics.
Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets
Our work introduces a novel way to increase pose estimation accuracy by discovering parts from unannotated regions of training images.
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