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07/29/2022
Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
The past decade has amply demonstrated the remarkable functionality that...
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04/04/2019
A Robust Learning Approach to Domain Adaptive Object Detection
Domain shift is unavoidable in real-world applications of object detecti...
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01/11/2019
Learning Undirected Posteriors by Backpropagation through MCMC Updates
The representation of the posterior is a critical aspect of effective va...
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11/17/2018
Weakly Supervised Semantic Image Segmentation with Self-correcting Networks
Building a large image dataset with high-quality object masks for semant...
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05/18/2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Boltzmann machines are powerful distributions that have been shown to be...
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02/14/2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Training of discrete latent variable models remains challenging because ...
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11/14/2016