Sangmin Bae - RankMe

47 papers A* 10A 1Misc 1Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Large Language Model Inference via Early-Exiting Algorithms. CoRR Sangmin Bae
2025	A*	`conf`	Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. ICLR Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, Sangmook Kim, Se-Young Yun, Kimin Lee
2025	J	`jnl`	Composer: A Search Framework for Hybrid Neural Architecture Design. CoRR Bilge Acun, Prasoon Sinha, Newsha Ardalani, Sangmin Bae, Alicia Golden, Chien-Yu Lin, Meghana Madhyastha, Fei Sun, Neeraja J. Yadwadkar, Carole-Jean Wu
2025	J	`jnl`	Hybrid Architectures for Language Models: Systematic Analysis and Design Insights. CoRR Sangmin Bae, Bilge Acun, Haroun Habeeb, Seungyeon Kim, Chien-Yu Lin, Liang Luo, Junjie Wang, Carole-Jean Wu
2025	J	`jnl`	Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation. CoRR Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron C. Courville, Se-Young Yun
2025	A*	`conf`	MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. ICML Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun
2025	J	`jnl`	MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. CoRR Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun
2025	A*	`conf`	Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. ICLR Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun
2025	J	`jnl`	Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. CoRR Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun
2025	A*	`conf`	Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA. ICLR Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster
2025	J	`jnl`	Temporal Alignment Guidance: On-Manifold Sampling in Diffusion Models. CoRR Youngrok Park, Hojung Jung, Sangmin Bae, Se-Young Yun
2025	J	`jnl`	VSCoDe: Visual-Augmentation Selection for Contrastive Decoding. Trans. Mach. Learn. Res. Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun
2024	J	`jnl`	Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. CoRR Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, Sangmook Kim, Se-Young Yun, Kimin Lee
2024	A*	`conf`	Block Transformer: Global-to-Local Language Modeling for Fast Inference. NeurIPS Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
2024	J	`jnl`	Block Transformer: Global-to-Local Language Modeling for Fast Inference. CoRR Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
2024	—	`conf`	Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun
2024	—	`conf`	Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. ACL (1) Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
2024	J	`jnl`	Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. CoRR Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
2024	—	`conf`	Learning Video Temporal Dynamics With Cross-Modal Attention For Robust Audio-Visual Speech Recognition. SLT Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
2024	J	`jnl`	Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition. CoRR Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
2024	J	`jnl`	Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA. CoRR Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster
2024	—	`conf`	RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification. EMBC June-Woo Kim, Miika Toikkanen, Sangmin Bae, Minseok Kim, Ho-Young Jung
2024	J	`jnl`	RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification. CoRR June-Woo Kim, Miika Toikkanen, Sangmin Bae, Minseok Kim, Ho-Young Jung
2024	Misc	`conf`	Stethoscope-Guided Supervised Contrastive Learning for Cross-Domain Adaptation on Respiratory Sound Classification. ICASSP June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung
2024	J	`jnl`	VACoDe: Visual Augmented Contrastive Decoding. CoRR Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun
2024	J	`jnl`	Why In-Context Learning Transformers are Tabular Data Classifiers. CoRR Felix den Breejen, Sangmin Bae, Stephen Cha, Se-Young Yun
2023	J	`jnl`	Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance. CoRR June-Woo Kim, Chihyeon Yoon, Miika Toikkanen, Sangmin Bae, Ho-Young Jung
2023	A*	`conf`	Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CVPR Sungnyun Kim, Sangmin Bae, Se-Young Yun
2023	J	`jnl`	Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CoRR Sungnyun Kim, Sangmin Bae, Se-Young Yun
2023	A*	`conf`	Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
2023	J	`jnl`	Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. CoRR Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
2023	J	`jnl`	Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning. CoRR Felix den Breejen, Sangmin Bae, Stephen Cha, Tae-Young Kim, Seounghyun Koh, Se-Young Yun
2023	A	`conf`	Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. INTERSPEECH Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
2023	J	`jnl`	Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. CoRR Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
2023	A*	`conf`	Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
2023	J	`jnl`	Re-thinking Federated Active Learning based on Inter-class Diversity. CoRR Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
2023	A*	`conf`	Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
2023	J	`jnl`	Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification. CoRR June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung
2022	A*	`conf`	Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. NeurIPS Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun
2021	J	`jnl`	Self-Contrastive Learning. CoRR Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
2020	J	`jnl`	Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits. CoRR Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun
2020	J	`jnl`	MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun
2020	—	`conf`	SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
2020	J	`jnl`	SIPA: A Simple Framework for Efficient Networks. CoRR Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
2019	—	`conf`	Fog Computing Architecture Based Blockchain for Industrial IoT. ICCS (3) Su-Hwan Jang, Jo Guejong, Jongpil Jeong, Sangmin Bae
2019	—	`conf`	Under Sampling Bagging Shapelet Transformation for Hydraulic System. COINS Yohan Joo, Jongpil Jeong, Sangmin Bae
2002	—	`conf`	An Efficient On-Line Monitoring BIST for Remote Service System. AISA Sangmin Bae, DongSup Song, Jihye Kim, Sungho Kang