Sangmin Bae

According to our database, Sangmin Bae authored at least 25 papers between 2002 and 2024.

Collaborative distances:

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

2024

Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA.

Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster

CoRR, 2024

Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models.

Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee

CoRR, 2024

VACoDe: Visual Augmented Contrastive Decoding.

Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun

CoRR, 2024

Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition.

Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun

CoRR, 2024

Block Transformer: Global-to-Local Language Modeling for Fast Inference.

Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun

CoRR, 2024

Why In-Context Learning Transformers are Tabular Data Classifiers.

Felix den Breejen, Sangmin Bae, Stephen Cha, Se-Young Yun

CoRR, 2024

RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification.

June-Woo Kim, Miika Toikkanen, Sangmin Bae, Minseok Kim, Ho-Young Jung

CoRR, 2024

Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models.

Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Stethoscope-Guided Supervised Contrastive Learning for Cross-Domain Adaptation on Respiratory Sound Classification.

June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung

Proceedings of the IEEE International Conference on Acoustics, 2024

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL.

Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning.

Felix den Breejen, Sangmin Bae, Stephen Cha, Tae-Young Kim, Seounghyun Koh, Se-Young Yun

CoRR, 2023

Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance.

June-Woo Kim, Chihyeon Yoon, Miika Toikkanen, Sangmin Bae, Ho-Young Jung

CoRR, 2023

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification.

Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding.

Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning.

Sungnyun Kim, Sangmin Bae, Se-Young Yun

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

Re-Thinking Federated Active Learning Based on Inter-Class Diversity.

Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun

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

Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network.

Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning.

Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Self-Contrastive Learning.

Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

CoRR, 2021

2020

Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits.

Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun

CoRR, 2020

MixCo: Mix-up Contrastive Learning for Visual Representation.

Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun

CoRR, 2020

SIPA: A Simple Framework for Efficient Networks.

Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Fog Computing Architecture Based Blockchain for Industrial IoT.

Su-Hwan Jang, Jo Guejong, Jongpil Jeong, Sangmin Bae

Proceedings of the Computational Science - ICCS 2019, 2019

Under Sampling Bagging Shapelet Transformation for Hydraulic System.

Yohan Joo, Jongpil Jeong, Sangmin Bae

Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019

2002

An Efficient On-Line Monitoring BIST for Remote Service System.

Sangmin Bae, DongSup Song, Jihye Kim, Sungho Kang

Proceedings of the Advanced Internet Services and Applications, 2002