research
∙
06/12/2023
Resource Efficient Neural Networks Using Hessian Based Pruning
Neural network pruning is a practical way for reducing the size of train...
share
research
∙
05/22/2023
ImSimCSE: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives
This paper aims to improve contrastive learning for sentence embeddings ...
research
∙
04/06/2021
mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding
Heterogeneous information networks(HINs) become popular in recent years ...
research
∙
09/23/2020
LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network
Hierarchical multi-label text classification(HMTC) problems become popul...
research
∙
09/15/2018
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications
Building behavior profiles of Android applications (apps) with holistic,...
research
∙
07/17/2017
graph2vec: Learning Distributed Representations of Graphs
Recent works on representation learning for graph structured data predom...
research
∙
04/06/2017
A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization
Existing Android malware detection approaches use a variety of features ...
research
∙
08/25/2016
Multi-View Fuzzy Clustering with Minimax Optimization for Effective Clustering of Data from Multiple Sources
Multi-view data clustering refers to categorizing a data set by making g...
research
∙
08/25/2016
Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data
Incremental clustering approaches have been proposed for handling large ...
research
∙
06/29/2016