# LG AI Research — [ICML 2022] Part 2: Self-supervised learning

- Company: LG AI Research (lgresearch.ai)
- Announced: 2022-10-04
- Category: research-paper
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=256
- Record: https://forck.live/items/4930-icml-2022-part-2-self-supervised-learning
- Subject: EXAONE

This blog post is a research summary written by an LG AI Research researcher, covering selected self-supervised learning papers presented at ICML 2022, with a detailed explanation of the Adversarial Masking for Self-Supervised Learning (ADIOS) method.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=256:

> Three researchers from LG AI Research have selected meaningful studies that were shared at the conference. - Part 1: Long-Tail Distribution Learning – Suhee Yoon, Applied AI Research Lab - Part 2: Self-supervised learning – Hyemin Jung, Applied AI Research Lab - Part 3: Neural Combinatorial Optimization studies – Hanseul Jeong, Applied AI Research Lab

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Record: https://forck.live/items/4930-icml-2022-part-2-self-supervised-learning
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md