Sangmin Bae

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 28

Top Topics

Global Knowledge

Sparsity Regularization

Top Venues

Publications

Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition. CoRR (2024)
Felix den Breejen, Sangmin Bae, Stephen Cha, Se-Young Yun
Why In-Context Learning Transformers are Tabular Data Classifiers. CoRR (2024)
Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. ACL (1) (2024)
Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
Block Transformer: Global-to-Local Language Modeling for Fast Inference. CoRR (2024)
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT (2024)
Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. CoRR (2024)
June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung
Stethoscope-Guided Supervised Contrastive Learning for Cross-Domain Adaptation on Respiratory Sound Classification. ICASSP (2024)
June-Woo Kim, Miika Toikkanen, Sangmin Bae, Minseok Kim, Ho-Young Jung
RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification. CoRR (2024)
June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification. CoRR (2023)
Sungnyun Kim, Sangmin Bae, Se-Young Yun
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CVPR (2023)
Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
Re-thinking Federated Active Learning based on Inter-class Diversity. CoRR (2023)
June-Woo Kim, Chihyeon Yoon, Miika Toikkanen, Sangmin Bae, Ho-Young Jung
Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance. CoRR (2023)
Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. INTERSPEECH (2023)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI (2023)
Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR (2023)
Sungnyun Kim, Sangmin Bae, Se-Young Yun
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CoRR (2023)
Felix den Breejen, Sangmin Bae, Stephen Cha, Tae-Young Kim, Seounghyun Koh, Se-Young Yun
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning. CoRR (2023)
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. CoRR (2023)
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP (2023)
Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. CoRR (2023)
Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. NeurIPS (2022)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning. CoRR (2021)
Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits. CoRR (2020)
Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) (2020)
Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
SIPA: A Simple Framework for Efficient Networks. CoRR (2020)
Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun
MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR (2020)
Su-Hwan Jang, Jo Guejong, Jongpil Jeong, Sangmin Bae
Fog Computing Architecture Based Blockchain for Industrial IoT. ICCS (3) (2019)
Yohan Joo, Jongpil Jeong, Sangmin Bae
Under Sampling Bagging Shapelet Transformation for Hydraulic System. COINS (2019)
Sangmin Bae, DongSup Song, Jihye Kim, Sungho Kang
An Efficient On-Line Monitoring BIST for Remote Service System. AISA (2002)