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OSI Lab
OSI Lab
Other namesOptimization and Statistical Inference Lab
KAIST AI
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Title
Cited by
Year
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
J Lee, SY Yun, KS Jun
International Conference on Artificial Intelligence and Statistics, 4474-4482, 2024
12024
Federated learning system for improved representation, federated learning method, and recording medium storing instructions to perform federated learning method
YUN Seyoung, KIM Seongyoon, W Chung, BAE SangMin
US Patent App. 18/472,393, 2024
2024
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
Y Yang, T Kim, SY Yun
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16370 …, 2024
2024
Optimal clustering from noisy binary feedback
K Ariu, J Ok, A Proutiere, S Yun
Machine Learning, 1-32, 2024
12024
Plastic: Improving input and label plasticity for sample efficient reinforcement learning
H Lee, H Cho, H Kim, D Gwak, J Kim, J Choo, SY Yun, C Yun
Advances in Neural Information Processing Systems 36, 2024
52024
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
H Lee, M Jeong, SY Yun, KE Kim
arXiv preprint arXiv:2402.08594, 2024
2024
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
J Lee, H Cho, SY Yun, C Yun
Advances in Neural Information Processing Systems 36, 2024
12024
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels
T Kim, D Kim, SY Yun
arXiv preprint arXiv:2402.05353, 2024
2024
DistiLLM: Towards Streamlined Distillation for Large Language Models
J Ko, S Kim, T Chen, SY Yun
arXiv preprint arXiv:2402.03898, 2024
22024
Postinhibitory excitation in motoneurons can be facilitated by hyperpolarization-activated inward currents: A simulation study
L Schmid, T Klotz, O Röhrle, RK Powers, F Negro, UŞ Yavuz
PLOS Computational Biology 20 (1), e1011487, 2024
2024
Coupled simulations and parameter inversion for neural system and electrophysiological muscle models
C Homs‐Pons, R Lautenschlager, L Schmid, J Ernst, D Göddeke, ...
GAMM‐Mitteilungen, e202370009, 2024
2024
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks
J Lee, L Schmid, SY Yun
27th International Conference on Principles of Distributed Systems (OPODIS 2023), 2024
2024
On the Convergence Time in Graphical Games: A Locality-Sensitive Approach
J Hirvonen, L Schmid, K Chatterjee, S Schmid
27th International Conference on Principles of Distributed Systems (OPODIS 2023), 2024
2024
Node Mutual Information: Enhancing Graph Neural Networks for Heterophily
S Choi, G Kim, SY Yun
NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023
2023
Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models
Y Yang, J Ko, SY Yun
arXiv preprint arXiv:2311.15569, 2023
2023
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
S Kim, G Lee, J Oh, SY Yun
arXiv preprint arXiv:2311.13267, 2023
2023
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
Y Kim, J Yoon, S Ye, SJ Hwang, S Yun
arXiv preprint arXiv:2311.08106, 2023
12023
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
F Breejen, S Bae, S Cha, TY Kim, SH Koh, SY Yun
arXiv preprint arXiv:2311.07343, 2023
2023
Hare: Explainable hate speech detection with step-by-step reasoning
Y Yang, J Kim, Y Kim, N Ho, J Thorne, S Yun
arXiv preprint arXiv:2311.00321, 2023
52023
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions
T Kim, J Kim, G Lee, SY Yun
arXiv preprint arXiv:2311.00233, 2023
22023
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Articles 1–20