# LG AI Research — [CVPR 2022] Research Trend of Continual Learning

- Company: LG AI Research (lgresearch.ai)
- Announced: 2022-07-23
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.lgresearch.ai/blog/view?seq=238
- Record: https://forck.live/items/4939-cvpr-2022-research-trend-of-continual-learning
- Title in English (translated by forck.live from en): [CVPR 2022] Research Trend of Continual Learning
- Subject: EXAONE

This blog post from LG AI Research discusses recent research trends in continual learning presented at CVPR 2022, covering three directions: continual learning algorithms using Transformer models (DyTox), unsupervised/self-supervised continual learning, and proper application of batch normalization in continual learning.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=238:

> This post will briefly introduce two research directions that represent the most recent research trends among continual learning-related studies presented at CVPR 2022.

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Record: https://forck.live/items/4939-cvpr-2022-research-trend-of-continual-learning
Catalogue: https://forck.live/llms.txt
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