CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing
Author:
Funder
Semiconductor Research Corporation
Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9585997/9586083/09586235.pdf?arnumber=9586235
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning;ACM Transactions on Design Automation of Electronic Systems;2024-09-04
2. Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. Towards Forward-Only Learning for Hyperdimensional Computing;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25
4. Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28
5. Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09
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