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07/19/2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Modeling customer shopping intentions is a crucial task for e-commerce, ...
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07/04/2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
Knowledge graph embeddings (KGE) have been extensively studied to embed ...
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06/14/2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Graph Neural Networks (GNNs) have achieved great success in modeling gra...
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05/03/2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
Large language models (LMs) beyond a certain scale, demonstrate the emer...
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02/22/2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Deep models trained in supervised mode have achieved remarkable success ...
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02/18/2021
Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization
EEG source localization is an important technical issue in EEG analysis....
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11/17/2020
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping
Grouping has been commonly used in deep metric learning for computing di...
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10/22/2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Self-supervised frameworks that learn denoising models with merely indiv...
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10/20/2020
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples
Predictive modeling is useful but very challenging in biological image a...
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09/15/2020
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage
Entity linkage (EL) is a critical problem in data cleaning and integrati...
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08/05/2020
Global Voxel Transformer Networks for Augmented Microscopy
Advances in deep learning have led to remarkable success in augmented mi...
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07/20/2020
Second-Order Pooling for Graph Neural Networks
Graph neural networks have achieved great success in learning node repre...
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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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05/29/2020
Non-Local Graph Neural Networks
Modern graph neural networks (GNNs) learn node embeddings through multil...
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07/01/2019
Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images
Visualizing the details of different cellular structures is of great imp...
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12/10/2018
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation
An important step in early brain development study is to perform automat...
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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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08/27/2018
Smoothed Dilated Convolutions for Improved Dense Prediction
Dilated convolutions, also known as atrous convolutions, have been widel...
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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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05/18/2017
Learning Convolutional Text Representations for Visual Question Answering
Visual question answering is a recently proposed artificial intelligence...
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05/18/2017
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions
The key idea of variational auto-encoders (VAEs) resembles that of tradi...
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05/18/2017