Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks

6 June 2021

Papers citing "Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks"

7 / 7 papers shown

Title
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices Sijia Li Young D. Kwon Lik-Hang Lee Pan Hui 89 0 0 31 Mar 2025
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms Young D. Kwon Jagmohan Chauhan Hong Jia Stylianos I. Venieris Cecilia Mascolo 89 12 0 19 Nov 2023
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning Pengyuan Lu Michele Caprio Eric Eaton Insup Lee VLM 53 1 0 24 May 2023
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers Young D. Kwon Jagmohan Chauhan Cecilia Mascolo 63 13 0 08 Mar 2022
Enabling On-Device Smartphone GPU based Training: Lessons Learned Anish Das Young D. Kwon Jagmohan Chauhan Cecilia Mascolo 3DH 74 11 0 21 Feb 2022
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications Young D. Kwon Jagmohan Chauhan Abhishek Kumar Pan Hui Cecilia Mascolo CLL HAI 66 33 0 25 Oct 2021
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications Young D. Kwon Jagmohan Chauhan Cecilia Mascolo HAI 66 16 0 14 Jun 2021