Session
Hyperdimensional Computing for Machine Learning
Session Chair
Event TypeResearch Manuscript
AI/ML Security/Privacy
ML Algorithms and Applications
AI
TimeTuesday, July 12th10:30am - 12:00pm PDT
Location3000, Level 3
DescriptionThis session presents four papers to design new HyperDimensional Computing techniques for addressing the important machine learning problems and accelerating the computational algorithms.
Presentations
10:30am - 10:52am PDT | HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance | |
10:52am - 11:15am PDT | Neural Computation for Robust and Holographic Face Detection | |
11:15am - 11:37am PDT | FHDnn: Communication Efficient and Robust Federated Learning for AIoT Networks | |
11:37am - 12:00pm PDT | ODHD: One-Class Hyperdimensional Computing for Outlier Detection |