Two papers will be presented at ICML 2024 🎊.

• A new text-guided image compression algorithm (led by Hagyeong and Minkyu, in collaboration with SAIT).

• A mesh-based neural field architecture for spherical data.

(2024.05.02)

Two papers will be presented at CVPR 2024 🎊.

• An intriguing way to accelerate neural field training (Oral, led by Junwon and Sangyoon).

• A way to characterize visual biases in the form of text keywords (Highlight, collaboration with UMich and KAIST).

(2024.02.27)

A paper on a distillation-based method to recognized named entities in multi-modal setup will be presented at NAACL 2024! 🎊

This is a joint work with NAVER.

(2024.03.14)

A paper on unlearning will be presented at IEEE S&P 2024.

(2024.03.10)

One conference paper and two workshop papers will be presented.

• Conference: Large-scale meta-learning for neural fields (with Google DeepMind).
• Workshop: Model merging (led by Jiwoon) and Neural field training (led by Junwon and Sangyoon).

(2023.10.30)

Jaeho and Seungwoo started working at Google.

They will work on LLM optimization as a visiting faculty and a student intern, respectively.

(2023.09.04)

One conference paper and three workshop papers has been presented.

• Conference: Data compression algorithm (with Google DeepMind).
• Workshop: Two on spurious correlations, and one on large-batch training.

(2023.06)

A paper on spurious correlation of conditional generative model has been published.

This is a joint work with Samsung Advanced Institute of Technology.
(2023.06)