Sung-Yub Kim — accepted AI-conference papers

2025

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding

Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu +2

ICLR 2025poster

Auto-Regressive (AR) models have recently gained prominence in image generation, often matching or even surpassing the performance of diffusion models. However, one major limitation of AR models is their sequential nature, which processes tokens one at a time, slowing down generation compared to mod…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗

2024

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective

Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sung-Yub Kim, Eunho Yang

NeurIPS 2024poster

Learning generalized models from biased data is an important undertaking toward fairness in deep learning. To address this issue, recent studies attempt to identify and leverage bias-conflicting samples free from spurious correlations without prior knowledge of bias or an unbiased set. However, spur…

Cited by 2 Source ↗PDF ↗Scholar ↗