2017年10月29日 · This paper develops variational continual learning (VCL), a simple but general framework for continual learning that fuses online variational inference (VI) and recent advances in Monte Carlo VI for neural networks.

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2024年2月27日 · In this report, we present our solution to the multi-task robustness track of the 1st Visual Continual Learning (VCL) Challenge at ICCV 2023 Workshop. We propose a vanilla framework named UniNet that seamlessly combines various visual perception algorithms into a multi-task model.

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source codes for Vcl paper. Contribute to ellylab/Vcl-paper development by creating an account on GitHub.

VCI paper (we call it ARMOR WRAP® VCI paper) is a clean, dry packaging material designed for the protection of ferrous and non-ferrous metals. When metal parts are wrapped or enclosed in VCI paper, VCIs activate and fill up the vapor space inside the packaging.

到此为止，vcl的主要贡献就说完了：指出了cl的贝叶斯特性；从理论上给出了泛化的vcl算法，以及详细阐述vcl如何估计贝叶斯过程中的分布；将vcl运用到深度学习的判别器以及生成器训练上，给出了网络结构以及各种抽象数学公式的实践估计方法。

2023年10月13日 · Abstract: This report outlines our team's participation in VCL Challenges B Continual Test_time Adaptation, focusing on the technical details of our approach. Our primary focus is Testtime Adaptation using bi_level adaptations, encompassing image_level and detector_level adaptations.

This paper develops variational continual learning (VCL), a simple but general framework for continual learning that fuses online variational inference (VI) and recent advances in Monte Carlo VI for neural networks.

The VCL paper is built on the observation that Bayesian inference is a very natural framework for Continual learning. In particular given model parameters $θ$ , a prior over the model parameters $p(θ)$ and training data $D$ , assuming independence between training examples, the posterior distirbution of the parameters given the data can be ...