research
∙
10/13/2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization
Recently, Sharpness-Aware Minimization (SAM) algorithm has shown state-o...
share
research
∙
09/07/2021
Adversarial Parameter Defense by Multi-Step Risk Minimization
Previous studies demonstrate DNNs' vulnerability to adversarial examples...
research
∙
12/25/2020
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network
Clustering is one of the fundamental problems in unsupervised learning. ...
research
∙
06/10/2020
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
We argue that the vulnerability of model parameters is of crucial value ...
research
∙
10/27/2019
An Adaptive and Momental Bound Method for Stochastic Learning
Training deep neural networks requires intricate initialization and care...
research
∙
06/27/2019
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Chinese word segmentation (CWS) is a fundamental step of Chinese natural...
research
∙
09/08/2018
Exploration on Grounded Word Embedding: Matching Words and Images with Image-Enhanced Skip-Gram Model
Word embedding is designed to represent the semantic meaning of a word w...
research
∙
07/30/2018