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10/02/2022
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party
In order to perform machine learning among multiple parties while protec...
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07/13/2022
Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras
This paper demonstrates a visual SLAM system that utilizes point and lin...
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10/27/2020
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
Many existing approaches for estimating feature importance are problemat...
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06/30/2020
AdaSGD: Bridging the gap between SGD and Adam
In the context of stochastic gradient descent(SGD) and adaptive moment e...
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06/07/2019
Relaxed Weight Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series
Recurrent neural networks (RNNs) are commonly applied to clinical time-s...
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08/21/2018
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks
Recently, researchers have started applying convolutional neural network...
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03/08/2018
The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA
During the 2017 NBA playoffs, Celtics coach Brad Stevens was faced with ...
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11/08/2017