research
∙
04/23/2023
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization
Text summarization is essential for information aggregation and demands ...
share
research
∙
09/30/2022
Machine Unlearning Method Based On Projection Residual
Machine learning models (mainly neural networks) are used more and more ...
research
∙
09/30/2022
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
The extraction of sequence patterns from a collection of functionally li...
research
∙
09/30/2022
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
Buddhism is an influential religion with a long-standing history and pro...
research
∙
06/07/2022
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
Currently, the federated graph neural network (GNN) has attracted a lot ...
research
∙
05/29/2022
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
Facial micro-expressions recognition has attracted much attention recent...
research
∙
09/16/2020
