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05/27/2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs
Graph neural networks (GNNs) are powerful tools for exploring and learni...
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09/24/2021
Learning Multi-Layered GBDT Via Back Propagation
Deep neural networks are able to learn multi-layered representation via ...
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09/24/2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Convolution utilizes a shift-equivalent prior of images, thus leading to...
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09/10/2019
GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs
Gradient boosted decision trees (GBDTs) are widely used in machine learn...
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08/19/2019
Adversarial Defense by Suppressing High-frequency Components
Recent works show that deep neural networks trained on image classificat...
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02/26/2019