Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks

1 code implementation • 2 Nov 2023 • Rouzbeh Meshkinnejad, Jie Mei, Daniel Lizotte, Yalda Mohsenzadeh

Contrastive representation learning has emerged as a promising technique for continual learning as it can learn representations that are robust to catastrophic forgetting and generalize well to unseen future tasks.

Continual Learning Representation Learning

DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection

no code implementations • 5 Jan 2023 • Caroline Strickland, Chandrika Saha, Muhammad Zakar, Sareh Nejad, Noshin Tasnim, Daniel Lizotte, Anwar Haque

Our increasingly connected world continues to face an ever-growing amount of network-based attacks.

Generative Adversarial Network Network Intrusion Detection

Theory and Application of Shapelets to the Analysis of Surface Self-assembly Imaging

no code implementations • 2 Apr 2014 • Robert Suderman, Daniel Lizotte, Nasser Mohieddin Abukhdeir

A method for quantitative analysis of local pattern strength and defects in surface self-assembly imaging is presented and applied to images of stripe and hexagonal ordered domains.