# LG AI Research — [ICML 2022] Part 1: Long-Tail Distribution 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=257
- Record: https://forck.live/items/4929-icml-2022-part-1-long-tail-distribution-learning
- Subject: EXAONE

LG AI Research published a blog post summarizing long-tail distribution learning research and introducing their PASCL paper presented at ICML 2022.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=257:

> In this article, we will examine the LTD problem and solutions from traditional methods to newly proposed methods focusing on the deep learning model. After this, we will also introduce Partial and Asymmetric Supervised Contrastive Learning (PASCL) paper that was recently presented at ICML 2022.

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Record: https://forck.live/items/4929-icml-2022-part-1-long-tail-distribution-learning
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md