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12/15/2022
DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection
Deep learning-based vulnerability detection models have recently been sh...
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09/30/2022
On the optimization and generalization of overparameterized implicit neural networks
Implicit neural networks have become increasingly attractive in the mach...
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05/16/2022
Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths
Implicit deep learning has recently become popular in the machine learni...
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02/01/2022
Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction
We consider feature representation learning problem of molecular graphs....
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02/01/2022
MotifExplainer: a Motif-based Graph Neural Network Explainer
We consider the explanation problem of Graph Neural Networks (GNNs). Mos...
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10/11/2021
A global convergence theory for deep ReLU implicit networks via over-parameterization
Implicit deep learning has received increasing attention recently due to...
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03/15/2021
Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence
We study text representation methods using deep models. Current methods,...
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10/19/2020
Topology-Aware Graph Pooling Networks
Pooling operations have shown to be effective on computer vision and nat...
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07/16/2020
Kronecker Attention Networks
Attention operators have been applied on both 1-D data like texts and hi...
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07/05/2019
Graph Representation Learning via Hard and Channel-Wise Attention Networks
Attention operators have been widely applied in various fields, includin...
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05/11/2019
Graph U-Nets
We consider the problem of representation learning for graph data. Convo...
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01/21/2019
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
With the development of graph convolutional networks (GCN), deep learnin...
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09/05/2018
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
Convolutional neural networks (CNNs) have shown great capability of solv...
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08/12/2018
Large-Scale Learnable Graph Convolutional Networks
Convolutional neural networks (CNNs) have achieved great success on grid...
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11/24/2017
Efficient and Invariant Convolutional Neural Networks for Dense Prediction
Convolutional neural networks have shown great success on feature extrac...
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05/19/2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
Variational auto-encoder (VAE) is a powerful unsupervised learning frame...
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05/18/2017