research
∙
01/20/2023
Self-Organization Towards 1/f Noise in Deep Neural Networks
Despite 1/f noise being ubiquitous in both natural and artificial system...
share
research
∙
01/14/2023
FedSSC: Shared Supervised-Contrastive Federated Learning
Federated learning is widely used to perform decentralized training of a...
research
∙
01/17/2022
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment
Self-supervised entity alignment (EA) aims to link equivalent entities a...
research
∙
07/20/2021
Edge of chaos as a guiding principle for modern neural network training
The success of deep neural networks in real-world problems has prompted ...
research
∙
12/16/2020
Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media
A large number of individuals are suffering from suicidal ideation in th...
research
∙
02/12/2020
Collaborative Inference for Efficient Remote Monitoring
While current machine learning models have impressive performance over a...
research
∙
10/26/2019
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
Despite detection of suicidal ideation on social media has made great pr...
research
∙
09/11/2019
