2023 · SangMook Kim, Sangmin Bae, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 25

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

2024 · June-Woo Kim, Miika Toikkanen, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 21

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

2023 · Sangmin Bae, Jongwoo Ko, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 20

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

2023 · Sungnyun Kim, Sangmin Bae, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 19

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

2023 · Sangmin Bae, Sungnyun Kim, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 14

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

2023 · Kim, June-Woo, Yoon, Chihyeon, et al. · arXiv (Cornell University) · 6

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Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits

2020 · Kim, Taehyeon, Bae, Sangmin, et al. · arXiv (Cornell University) · 6

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Learning Video Temporal Dynamics With Cross-Modal Attention For Robust Audio-Visual Speech Recognition

2024 · Sungnyun Kim, Kangwook Jang, et al. · IEEE Spoken Language Technology Workshop (SLT) · 4

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Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

2025 · Sangmin Bae, Yujin Kim, et al. · neural information processing systems · 2

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

2024 · Yujin Kim, Jaehong Yoon, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 2

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

2024 · Yunseon Choi, Sangmin Bae, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2

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Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification

2023 · Kim, June-Woo, Bae, Sangmin, et al. · arXiv (Cornell University) · 2

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

2024 · Choi, Yunseon, Bae, Sangmin, et al. · arXiv (Cornell University) · 1

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Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning

2023 · Breejen, Felix den, Bae, Sangmin, et al. · arXiv (Cornell University) · 1