# ICLR 2022 Social : ML in Korea

![](/files/ryWFEDeHsoQVG6iDglZn)

We invite everyone who is part of or interested in the ML research community in Korea. Participants introduce their own ML research presented in ICLR 2022. They also casually introduce papers that are found interesting among those presented in ICLR 2022 and other venues, and discuss those with other participants. Other potential discussion topics include (but are not limited to): Korean NLP, computer vision and datasets, ML for the post-COVID19 era, and career chances in both academia and industry in Korea. We welcome everyone from anywhere in the world. Note that we have had the same social events in ICLR 2020, 2021, NeurIPS 2020, and 2021 with active participation of more than 100 people.

## Program

### Time : 2022. 4. 28 (Thu) 12:00\~15:00 (KST)

### Venue : [Gather Town ](https://app.gather.town/app/wjdgczhsiSjpcqBQ/iclr-social-22)

<https://app.gather.town/app/wjdgczhsiSjpcqBQ/iclr-social-22>

### Schedule&#x20;

![](/files/lTTQb3pB6ctlnLC0Depk)

## Plenary Talk

### **Title:** Reasoning with and about Knowledge: Socrates, Delphi, and Symbolic Knowledge Distillation

### Speaker : Professor. **Yejin Choi**&#x20;

**(Univ. of Washington/Allen Institute for Artificial Intelligence**)

Yejin Choi is Brett Helsel Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington and a senior research manager at AI2 overseeing the project Mosaic. Her research investigates commonsense knowledge and reasoning, neuro-symbolic integration, neural language generation and degeneration, multimodal representation learning, and AI for social good. She is a co-recipient of the ACL Test of Time award in 2021, the CVPR Longuet-Higgins Prize in 2021, a NeurIPS Outstanding Paper Award in 2021, the AAAI Outstanding Paper Award in 2020, the Borg Early Career Award in 2018, the inaugural Alexa Prize Challenge in 2017, IEEE AI's 10 to Watch in 2016, and the ICCV Marr Prize in 2013.

## Organizers

* **Seunghoon Hong (KAIST)**
* **Gunhee Kim (Seoul National University)**
* **Tae-Hyun Oh (POSTECH)**
* **Sanghyuk Chun (NAVER CLOVA AI Lab)**
* **Soonmin Bae (KT)**
* **Sungjoo Ha (Hyperconnect)**
* **Woohyung Lim (LG AI Research)**
* **Byungseok Roh (Kakaobrain)**
* **Junho Lim (Hyundai Motors Company)**

## Sponsors

![](/files/sP9cdt4AqVYWKh5uE4oT)

## ICLR 2022 Paper Wall -1 (Poster Session 1)

![](/files/4867abPk6mqKuPjDPv1i)

## ICLR 2022 Paper Wall -2 (Poster Session 2)

![](/files/Dz7vhtZRJEVKilQzWiqo)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://naver-career.gitbook.io/en/teams/clova-cic/events/iclr-2022-social-ml-in-korea.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.