Jihyeon Lee

Researcher, KakaoBrain

Joined

May 2021

Names

Jihyeon Lee (Preferred)

Emails

****@kaist.ac.kr (Confirmed)

,

****@gmail.com (Confirmed)

,

****@kakaobrain.com (Confirmed)

Personal Links

Career & Education History

Researcher

KakaoBrain (kakaobrain.com)

2022 – Present

MS student

Korea Advanced Institute of Science and Technology (kaist.ac.kr)

2020 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners
Jihyeon Lee, Dain Kim, Doohae Jung, Boseop Kim, Kyoung-Woon On
- COLM
- Readers: Everyone
Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners
Jihyeon Lee, Dain Kim, Doohae Jung, Boseop Kim, Kyoung-Woon On
- Submitted to ICLR 2024
- Readers: Everyone
PePe: Personalized Post-editing Model utilizing User-generated Post-edits
Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo
- Published: 01 Jan 2023, Last Modified: 15 May 2023
- EACL (Findings) 2023
- Readers: Everyone
Dense but Efficient VideoQA for Intricate Compositional Reasoning
Jihyeon Lee, Woo-Young Kang, Eun-Sol Kim
- Published: 01 Jan 2023, Last Modified: 12 Jun 2023
- WACV 2023
- Readers: Everyone
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon Lee, Jaegul Choo
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Oral
- Readers: Everyone
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon Lee, Jaegul Choo
- 2021 (modified: 16 Apr 2023)
- NeurIPS 2021
- Readers: Everyone
BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation
Eungyeup Kim, Jihyeon Lee, Jaegul Choo
- 2021 (modified: 16 Apr 2023)
- ICCV 2021
- Readers: Everyone

Co-Authors