Skip to content
Back to skills

Continual Learning Of A Mixed Sequence Of Similar And Dissimilar Tasks

ASecurity

**arXiv ID:** 2112.10017 **Authors:** Zixuan Ke, Bing Liu, Xingchang Huang **Published:** 2021-12-18T22:37:30Z **Abstract:** Existing research on continual learning of a sequence of tasks focused on dealing with catastrophic forgetting, where the tasks are assumed to be dissimilar and have little shared knowledge. Some work has also been done to transfer previously learned knowledge to the new task when the tasks are similar and have shared knowledge. To the best of our knowledge, no techniqu...

  • 3 stars
  • 0 votes
  • 0 copies
  • 6 views
  • Added September 11, 2026
toolsgo

Security analysis

A100/100

Scanned September 11, 2026

npx -y skills add hiyenwong/ai_collection --skill continual-learning-of-a-mixed-sequence-of-similar-and-dissimilar-tasks --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Continual Learning Of A Mixed Sequence Of Similar And Dissimilar Tasks?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Continual Learning Of A Mixed Sequence Of Similar And Dissimilar Tasks
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/hiyenwong-continual-learning-of-a-mixed-sequence-of-similar/badge)](https://www.skillsdirectory.com/skills/hiyenwong-continual-learning-of-a-mixed-sequence-of-similar)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
# Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

**arXiv ID:** 2112.10017
**Authors:** Zixuan Ke, Bing Liu, Xingchang Huang
**Published:** 2021-12-18T22:37:30Z
**Abstract:**
Existing research on continual learning of a sequence of tasks focused on dealing with catastrophic forgetting, where the tasks are assumed to be dissimilar and have little shared knowledge. Some work has also been done to transfer previously learned knowledge to the new task when the tasks are similar and have shared knowledge. To the best of our knowledge, no technique has been proposed to learn a sequence of mixed similar and dissimilar tasks that can deal with forgetting and also transfer knowledge forward and backward. This paper proposes such a technique to learn both types of tasks in the same network. For dissimilar tasks, the algorithm focuses on dealing with forgetting, and for similar tasks, the algorithm focuses on selectively transferring the knowledge learned from some similar previous tasks to improve the new task learning. Additionally, the algorithm automatically detects whether a new task is similar to any previous tasks. Empirical evaluation using sequences of mixed tasks demonstrates the effectiveness of the proposed model.

## Skill Description

This skill is generated from the arXiv paper: Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks (2112.10017).

## How to Use

[To be filled in by the user or by future automation]

## References

- [arXiv:2112.10017](http://arxiv.org/abs/2112.10017v1)

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

View all in tools →

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.