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06/06/2022
Local False Discovery Rate Estimation with Competition-Based Procedures for Variable Selection
Multiple hypothesis testing has been widely applied to problems dealing ...
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01/26/2022
Variational Model Inversion Attacks
Given the ubiquity of deep neural networks, it is important that these m...
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01/20/2022
Identifying critical nodes in complex networks by graph representation learning
Because of its wide application, critical nodes identification has becom...
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08/31/2021
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
Channel pruning is a promising technique to compress the parameters of d...
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06/19/2021
Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
Many real-world systems can be expressed in temporal networks with nodes...
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05/12/2021
A Graph Neural Network Approach for Product Relationship Prediction
Graph Neural Networks have revolutionized many machine learning tasks in...
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12/11/2020
Reinforced Multi-Teacher Selection for Knowledge Distillation
In natural language processing (NLP) tasks, slow inference speed and hug...
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09/17/2020
Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation
In this paper, we introduce Cross-modal Alignment with mixture experts N...
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05/15/2020
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums
New learning resources are created and minted in Massive Open Online Cou...
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04/29/2020
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Multilingual pre-trained models could leverage the training data from a ...
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11/21/2018
Resource Mention Extraction for MOOC Discussion Forums
In discussions hosted on discussion forums for MOOCs, references to onli...
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04/23/2018