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06/08/2023
Contrastive Representation Disentanglement for Clustering
Clustering continues to be a significant and challenging task. Recent st...
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04/18/2023
A Voice Disease Detection Method Based on MFCCs and Shallow CNN
The incidence rate of voice diseases is increasing year by year. The use...
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11/02/2022
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
Pre-trained multilingual language models play an important role in cross...
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02/02/2022
Decoupled IoU Regression for Object Detection
Non-maximum suppression (NMS) is widely used in object detection pipelin...
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12/17/2020
Multi-shot Temporal Event Localization: a Benchmark
Current developments in temporal event or action localization usually ta...
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12/01/2020
Multi-level Knowledge Distillation
Knowledge distillation has become an important technique for model compr...
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06/24/2020
Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning
Accurate knowledge of the distribution system topology and parameters is...
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05/31/2020
Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning
This paper proposes a data-driven distributed voltage control approach b...
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03/18/2020
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Graph representation learning based on graph neural networks (GNNs) can ...
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01/30/2020
Supervised Functional PCA with Covariate Dependent Mean and Covariance Structure
Incorporating covariate information into functional data analysis method...
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11/20/2019
Hierarchical Attention Networks for Medical Image Segmentation
The medical image is characterized by the inter-class indistinction, hig...
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11/13/2019
Clustering by Directly Disentangling Latent Space
To overcome the high dimensionality of data, learning latent feature rep...
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10/10/2007