Learning to Continually Learn with the Bayesian Principle

Learning to Continually Learn with the Bayesian Principle
Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee Kim
ICML 2024

ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images

ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images
Jinseo Jeong, Junseo Koo, Qimeng Zhang, Gunhee Kim
CVPR 2024

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
Yeda Song*, Dongwook Lee*, Gunhee Kim
ICLR 2024

Federated Learning via Meta-Variational Dropout

Federated Learning via Meta-Variational Dropout
Insu Jeon, Minui Hong, Junhyeog Yun and Gunhee Kim
NeurIPS 2023

mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images

mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images
Keighley Overbay, Jaewoo Ahn, Fatemeh Pasaran zadeh, Joonsuk Park and Gunhee Kim
EMNLP 2023

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, and Yejin Choi
EMNLP 2023

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap
EMNLP 2023

Can Language Models Laugh at YouTube Short-form Videos?

Can Language Models Laugh at YouTube Short-form Videos?
Dayoon Ko, Sangho Lee, Gunhee Kim
EMNLP 2023

Recasting Meta-Continual Learning as Sequence Modeling

Recasting Meta-Continual Learning as Sequence Modeling
Soochan Lee, Jaehyeon Son, Gunhee Kim
NeurIPS 2023

Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation

Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation
Heeseung Yun*, Joonil Na* and Gunhee Kim
ICCV 2023

News

- Paper accepted at ICML 2024 (2024-05-02)
We have one paper accepted at ICML 2024 (link).

- Paper accepted at CVPR 2024 (2024-03-01)
We have one paper accepted at CVPR 2024 (link).

- Paper accepted at ICLR 2024 (2023-10-07)
We have one paper accepted at ICLR 2024 (link).

- Papers accepted at EMNLP 2023 (2023-10-07)
We have four papers accepted at EMNLP 2023 (link).

- Papers accepted at NeurIPS 2023 (2023-09-22)
We have two papers accepted at NeurIPS 2023 (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.