HEAL: Brain-inspired Hyperdimensional Efficient Active Learning

HEAL: Brain-inspired Hyperdimensional Efficient Active Learning

17 February 2024

Wenjun Huang

Hanning Chen

William Youngwoo Chung

Mohsen Imani

Papers citing "HEAL: Brain-inspired Hyperdimensional Efficient Active Learning"

5 / 5 papers shown

Title
Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures Mike Heddes Igor O. Nunes Pere Vergés Denis Kleyko Danny Abraham T. Givargis Alexandru Nicolau A. Veidenbaum 31 20 0 18 May 2022
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing Yang Ni Danny Abraham Mariam Issa Yeseong Kim Pietro Mercati Mohsen Imani OffRL 30 11 0 14 May 2022
Deep Active Learning in Remote Sensing for data efficient Change Detection Vít Ruzicka Stefano Dáronco Jan Dirk Wegner Konrad Schindler 29 29 0 25 Aug 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015