2021年3月31日 · To this end, we propose a novel two-stage learning approach that utilizes a dynamically expandable representation for more effective incremental concept modeling. Specifically, at each incremental step, we freeze the previously learned representation and augment it with additional feature dimensions from a new learnable feature extractor.

2021年4月26日 · DER（Dynamically Expandable Representation for Class Incremental Learning）算法是一种用于类增量学习的动态可扩展表示方法。该算法旨在解决传统机器学习算法在处理类增量学习任务时可能出现的问题。

To this end, we propose a novel two-stage learning approach that utilizes a dynam-ically expandable representation for more effective incre-mental concept modeling. Specifically, at each incremental step, we freeze the previously learned representation and augment it with additional feature dimensions from a new learnable feature extractor.

The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021 - Rhyssiyan/DER-ClassIL.pytorch

DER: Dynamically Expandable Representation for Class Incremental Learning Abstract: We address the problem of class incremental learning, which is a core step towards achieving adaptive vision intelligence.

DER: Dynamically Expandable Representation for Class Incremental Learning Shipeng Yan, Jiangwei Xie, Xuming He ; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 3014-3023

提出 动态可扩展表示 (der)和两阶段策略来更好的权衡稳定性和可塑性； 提出一个 辅助损失 来促进新添加的特征模块有效地学习新的类，并提出一个 模型修剪 步骤来学习紧凑的特征；

《2021 年数字经济报告》指出，以能够带来可持续发展效益的方 式治理数据和数据跨境流动，涉及种种复杂问题。报告还强调， 关于如何监管跨境数据流动的国际辩论陷入了僵局，各方立场趋 于两极化。目前的监管格局参差不齐，不同国家采取的方针截然

REPORT 2021 Cross-border data flows and development: For whom the data flow Annex 2 – Annex to Chapter V List of regulations reviewed This annex provides details of relevant regulation on cross-border data flows reviewed for Chapter V. The list does not pretend to be exhaustive and is presented for illustrative purposes only.

The UNCTAD Digital Economy Report 2021 discusses the importance of global data governance for development and the rapid expansion of data flows.