Sukmin Yun

According to our database, Sukmin Yun authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Tabular Transfer Learning via Prompting LLMs.

Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, Jinwoo Shin

CoRR, 2024

Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs.

Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen

CoRR, 2024

DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture.

Shentong Mo, Sukmin Yun

CoRR, 2024

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.

Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

IFSeg: Image-free Semantic Segmentation via Vision-Language Model.

Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Time Is MattEr: Temporal Self-supervision for Video Transformers.

Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin

Proceedings of the International Conference on Machine Learning, 2022

TSPipe: Learn from Teacher Faster with Pipelines.

Hwijoon Lim, Yechan Kim, Sukmin Yun, Jinwoo Shin, Dongsu Han

Proceedings of the International Conference on Machine Learning, 2022

OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data.

Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Patch-level Representation Learning for Self-supervised Vision Transformers.

Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Regularizing Class-Wise Predictions via Self-Knowledge Distillation.

Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Robust Inference via Generative Classifiers for Handling Noisy Labels.

Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin

Proceedings of the 36th International Conference on Machine Learning, 2019