Browse by Author Yun, Se-Young
Showing results 17 to 50 of 50
| Early learning regularization for federated learning with label noise = 라벨 노이즈 환경에서의 연합학습을 위한 조기 학습 정규화link Kim, Donggyu; Yun, Se-Young; et al, 한국과학기술원, 2023 |
| ENLAS : robust learning via ensemble framework for handling noisy labels = 라벨 노이즈 상황에서 앙상블 구조를 활용한 강건 학습 방법론link Cho, Sangwook; Yun, Se-Young; et al, 한국과학기술원, 2022 |
| Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Lee, Junghyun; Cho, Hanseul; Yun, Se-Young; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-12 |
| Fast and memory optimal low-rank matrix approximation Yun, Se-Young; Lelarge, Marc; Proutiere, Alexandre, Neural Information Processing Systems (NIPS) 2015, pp.3177 - 3185, Neural Information Processing Systems Foundation, 2015-12-09 |
| From Glauber Dynamics To Metropolis Algorithm: Smaller Delay in Optimal CSMA Lee, Chul-Ho; Eun, Do Young; Yun, Se-Young; Yi Yung, IEEE International Symposium on Information Theory, ISIT 2012, IEEE, 2012-07-06 |
| Gradient compression with random projection and sequential update method = 동기화된 분산 딥러닝 환경에서 랜덤 프로젝션과 순차 업데이트 방법을 이용한 전송량 압축link Kim, Sangmook; Yun, Se-Young; et al, 한국과학기술원, 2019 |
| Interpretable Deep Learning Model for Analyzing the Relationship between the Electronic Structure and Chemisorption Property Hong, Doosun; Oh, Jaehoon; Bang, Kihoon; Kwon, Soonho; Yun, Se-Young; Lee, Hyuck Mo, JOURNAL OF PHYSICAL CHEMISTRY LETTERS, v.13, no.37, pp.8628 - 8634, 2022-09 |
| Meta Learning for the representation change in task-specific update = 과제별 학습을 통한 특징 변화를 위한 메타 학습link Yoo, Hyungjun; Yun, Se-Young; et al, 한국과학기술원, 2021 |
| Meta-learning amidst heterogeneity and ambiguity = 이질성과 모호성 가운데 설명가능한 메타 학습link Go, Kyeong-Ryeol; Yun, Se-Young; et al, 한국과학기술원, 2021 |
| Method and system for transmitting/receiving data in communication system Min, Chan-Ho; Jeon, Young-Hyun; Lee, Hun-Joo; Cho, Dong-Ho; Hong, Chul-Kee; Kim Hyu-Dae; Kim, Ju-Yeop; et al, 2014-04-22 |
| Mitigating dataset bias for robust deep learning: from clean dataset to the practical noisy dataset = 강건한 심층 신경망 학습을 위한 데이터세트 편향 완화 방법link Ahn, Sumyeong; 안수명; et al, 한국과학기술원, 2023 |
| Multi-channel MAC protocol for QoS support in ad-hoc network Shin, Kyung-Seop; Yun, Se-Young; Cho, Dong-Ho, 2011 IEEE Consumer Communications and Networking Conference, CCNC'2011, pp.975 - 976, IEEE, 2011-01-08 |
| Near-optimal clustering in block Markov decision processes = 블락 마르코프 결정 과정에서의 거의 최적의 군집화 알고리즘link Lee, Junghyun; Yun, Se-Young; 윤세영; Yun, Chulhee; et al, 한국과학기술원, 2023 |
| Noisy Power Method with Grassmann Average Yun, Se-Young, 2018 IEEE International Conference on Big Data and Smart Computing (BigComp), pp.709 - 712, IEEE, 2018-01 |
| On the deep learning-based personalized models under source-to-source and source-to-target data heterogeneity = 소스-소스 간 및 소스-대상 간 데이터 이질성 하에서의 심층 학습 기반 개인화 모델 연구link Oh, Jaehoon; Yun, Se-Young; et al, 한국과학기술원, 2023 |
| Open or close: On the sharing of femtocells Yun, Se-Young; Yi, Yung; Cho, Dong-Ho; Jeonghoon Mo, IEEE INFOCOM 2011, pp.116 - 120, IEEE, 2011-04-10 |
| Optimal cluster recovery in the labeled stochastic block model Yun, Se-Young; Proutiere, Alexandre, Neural Information Processing Systems (NIPS) 2016, pp.973 - 981, Neural Information Processing Systems Foundation, 2016-12-07 |
| Optimal CSMA:A Survey Yun, Se-Young; Yi, Yung; Shin, Jinwoo; Eun, Do Young, IEEE International Conference on Communication Systems, ICCS 2012, IEEE, 2012-11-22 |
| Parameter estimation for generalized Thurstone choice models Vojnovic, Milan; Yun, Se-Young, International Conference on Machine Learning (ICML) 2016, pp.762 - 784, International Machine Learning Society (IMLS), 2016-06-21 |
| PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Lee, Hojoon; Cho, Hanseul; Kim, Hyunseung; Gwak, Daehoon; Kim, Joonkee; Choo, Jaegul; Yun, Se-Young; et al, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-13 |
| Practical data selection strategies for incomplete supervised federated learning = 현실 세계의 불완전한 감독 연합 학습을 위한 실용적인 데이터 선택 전략link Kim, SangMook; 김상묵; et al, 한국과학기술원, 2023 |
| Precipitation Nowcasting Using Grid-based Data in South Korea Region Kim, ChangHwan; Yun, Se-Young, 20th IEEE International Conference on Data Mining (ICDM), pp.701 - 706, IEEE COMPUTER SOC, 2020-11 |
| Reinforcement with Fading Memories Xu, Kuang; Yun, Se-Young, ACM SIGMETRICS, pp.90 - 92, Association for Computing Machinery (ACM), 2018-06-12 |
| Reinforcement with Fading Memories Xu, Kuang; Yun, Se-Young, MATHEMATICS OF OPERATIONS RESEARCH, v.45, no.4, pp.1258 - 1288, 2020-11 |
| Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification Kim, Taehyeon; Yun, Se-Young, IEEE ACCESS, v.10, pp.69741 - 69749, 2022 |
| Sequential decision-making with rotting rewards and infinitely many actions = 감소하는 보상 및 무한히 많은 액션에서의 순차적 의사 결정link Kim, Jung-hun; 김정훈; et al, 한국과학기술원, 2023 |
| Should we use the same activation function for federated image classification? = 연합 이미지 분류를 위해 동일한 활성화 함수를 사용해야할까?link Shin, Jaewoo; Yun, Se-Young; et al, 한국과학기술원, 2023 |
| SIPA: A Simple Framework for Efficient Networks Lee, Gihun; Bae, Sangmin; Oh, Jaehoon; Yun, Se-Young, 20th IEEE International Conference on Data Mining (ICDM), pp.729 - 736, IEEE COMPUTER SOC, 2020-11 |
| Specific initialization method for endomorphism-like operators in residual networks = Residual network들의 자기 사상 (endomorphism) 과 유사한 연산자들의 초기화 방법에 대한 연구link MARSEILLE, Gauvain; Yun, Se-Young; et al, 한국과학기술원, 2020 |
| Streaming, memory limited algorithms for community detection Yun, Se-Young; Lelarge, Marc; Proutiere, Alexandre, Neural Information Processing Systems (NIPS) 2014,, pp.3167 - 3175, Neural Information Processing Systems Foundation, 2014-12-08 |
| Synergistic Integration of Coordinate Network and Tensorial Feature for Improving NeRFs from Sparse Inputs Kim, Mingyu; Kim Jun-Seong; Yun, Se-Young; Jin-Hwa Kim, International Conference on Machine Learning, ICML, 2024-07-24 |
| The Economic Effects of Sharing Femtocells Yun, Se-Young; Yi, Yung; Cho, Dong-Ho; Mo, Jeong-Hoon, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, v.30, no.3, pp.595 - 606, 2012-04 |
| Traffic and user density based decentralized power control and economical analysis in femtocell networks = 펨토셀 네트워크에서 트래픽 및 사용자 밀도 기반의 분산전력제어 및 경제성 분석link Yun, Se-Young; 윤세영; et al, 한국과학기술원, 2012 |
| Traffic density based power control scheme for femto AP Yun, Se-Young; Cho, Dong-Ho, 2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010, pp.1378 - 1383, IEEE, 2010-09-26 |
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