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06/19/2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
In this paper, we introduce AdaSelection, an adaptive sub-sampling metho...
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10/18/2021
Learning Prototype-oriented Set Representations for Meta-Learning
Learning from set-structured data is a fundamental problem that has rece...
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01/27/2021
Solar Radiation Anomaly Events Modeling Using Spatial-Temporal Mutually Interactive Processes
Modeling and predicting solar events, in particular, the solar ramping e...
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06/16/2020
Goodness-of-Fit Test for Self-Exciting Processes
Recently there have been many research efforts in developing generative ...
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06/07/2020
Distributionally Robust k-Nearest Neighbors for Few-Shot Learning
Learning a robust classifier from a few samples remains a key challenge ...
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05/15/2020
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling
We present a novel framework for modeling traffic congestion events over...
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02/17/2020
Deep Attention Spatio-Temporal Point Processes
We present a novel attention-based sequential model for mutually depende...
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10/20/2019