FedAvP: Augment Local Data via Shared Policy in Federated Learning

FedAvP: Augment Local Data via Shared Policy in Federated Learning
Minui Hong, Junhyeog Yun, Insu Jeon, Gunhee Kim
NeurIPS 2024

Sample Selection via Contrastive Fragmentation for Noisy Label Regression

Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Chris Dongjoo Kim*, Sangwoo Moon*, Jihwan Moon, Dongyeon Woo, Gunhee Kim
NeurIPS 2024

DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG

DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
Jinyoung Kim, Dayoon Ko, Gunhee Kim
EMNLP 2024

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
Fatemeh Pesaran, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim
EMNLP 2024

When Meta-Learning Meets Online and Continual Learning: A Survey

When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son*, Soochan Lee*, Gunhee Kim
TPAMI 2024

Meta-Learning Approach for Joint Multimodal Signals with Multimodal Iterative Adaptation

Meta-Learning Approach for Joint Multimodal Signals with Multimodal Iterative Adaptation
Sehun Lee*, Wonkwang Lee*, Gunhee Kim
TMLR 2024

Bi-directional Contextual Attention for 3D Dense Captioning

Bi-directional Contextual Attention for 3D Dense Captioning
Minjung Kim, Hyung Suk Lim, Soonyoung Lee, Bumsoo Kim, Gunhee Kim
ECCV 2024 (Oral)

Spherical World-Locking for Audio-Visual Localization in Egocentric Videos

Spherical World-Locking for Audio-Visual Localization in Egocentric Videos
Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla, Anurag Kumar, Jacob Donley, Chao Li, Gunhee Kim, Vamsi Krishna Ithapu, Calvin Murdock
ECCV 2024

GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?

GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?
Dayoon Ko, Jinyoung Kim, Hahyeon Choi, Gunhee Kim
ACL 2024

Who Wrote this Code? Watermarking for Code Generation

Who Wrote this Code? Watermarking for Code Generation
Taehyun Lee*, Seokhee Hong*, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim
ACL 2024

News

- Paper accepted at NeurIPS 2024 (2024-10-12)
We have two papers accepted at NeurIPS 2024 (link).

- Paper accepted at EMNLP 2024 (2024-09-19)
We have two papers accepted at EMNLP 2024 (link).

- Paper accepted at TPAMI 2024 (2024-09-15)
We have one paper accepted at TPAMI 2024 (link).

- Paper accepted at TMLR 2024 (2024-08-15)
We have one paper accepted at TMLR 2024 (link).

- Paper accepted at ECCV 2024 (2024-08-07)
We have two papers accepted at ECCV 2024 (link).

- 인턴 연구원 상시 모집합니다. (2024-01-31)

- Two of our students have received 2023 Qualcomm Innovation Fellowship Award (2023-11-28)
One of our Ph.D. Student have received 2023 Qualcomm Innovation Fellowship Award.

- One of our students have received 2022 naver Ph.D. Fellowship Award (2022-12-22)
One of our Ph.D. Student have received 2022 naver Ph.D. Fellowship Award.

- Two of our students have received 2022 Youlchon AI star Fellowship Award (2022-08-11)
Two of our Ph.D. Student have received 2022 Youlchon AI star Fellowship Award.