On the stability-plasticity dilemma of class-incremental learning
A primary goal of class-incremental learning is to strike a balance between stability and
plasticity, where models should be both stable enough to retain knowledge learned from …
plasticity, where models should be both stable enough to retain knowledge learned from …
On the Stability-Plasticity Dilemma of Class-Incremental Learning
D Kim, B Han - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
A primary goal of class-incremental learning is to strike a balance between stability and
plasticity, where models should be both stable enough to retain knowledge learned from …
plasticity, where models should be both stable enough to retain knowledge learned from …
On the Stability-Plasticity Dilemma of Class-Incremental Learning
D Kim, B Han - 2023 IEEE/CVF Conference on Computer …, 2023 - ieeexplore.ieee.org
A primary goal of class-incremental learning is to strike a balance between stability and
plasticity, where models should be both stable enough to retain knowledge learned from …
plasticity, where models should be both stable enough to retain knowledge learned from …
On the Stability-Plasticity Dilemma of Class-Incremental Learning
D Kim, B Han - 2023 IEEE/CVF Conference on Computer Vision and …, 2023 - computer.org
A primary goal of class-incremental learning is to strike a balance between stability and
plasticity, where models should be both stable enough to retain knowledge learned from …
plasticity, where models should be both stable enough to retain knowledge learned from …
On the Stability-Plasticity Dilemma of Class-Incremental Learning
D Kim, B Han - arXiv preprint arXiv:2304.01663, 2023 - arxiv.org
A primary goal of class-incremental learning is to strike a balance between stability and
plasticity, where models should be both stable enough to retain knowledge learned from …
plasticity, where models should be both stable enough to retain knowledge learned from …