Showing results 1 to 43 of 43
A pipelined hybrid recommender system for ranking the items on the display Oh, Jaehoon; Kim, Sangmook; Yun, Se-Young; Choi, Seungwoo; Yi, Mun Yong, the Workshop on ACM Recommender Systems Challenge, pp.9:1 - 9:5, ACM Press, 2019-09-20 |
(An) optimization algorithm for a robust airport gate assignment problem = 비행 스케줄 변동에 강건성을 갖는 주기장 배정 문제의 최적화 해법link Yun, Se-Young; 윤세영; et al, 한국과학기술원, 2009 |
Automated augmentation for knowledge distillation = 지식 증류를 위한 자동화된 데이터 증강 기법link Choi, Jinhwan; Yun, Se-Young; et al, 한국과학기술원, 2022 |
Calibration of few-shot classification tasks : mitigating misconfidence from distribution mismatch = 퓨샷 분류 태스크 교정: 분포 불일치에 의한 확신도 오류 완화link Kim, Sungnyun; Yun, Se-Young; et al, 한국과학기술원, 2021 |
CLUSTERING IN BLOCK MARKOV CHAINS Sanders, Jaron; Proutiere, Alexandre; Yun, Se-Young, ANNALS OF STATISTICS, v.48, no.6, pp.3488 - 3512, 2020-12 |
Community detection via random and adaptive sampling Yun, Se-Young; Proutiere, Alexandre, Conference on Learning Theory (COLT) 2014, pp.138 - 175, Association for Computational Learning, 2014-06-14 |
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation Kim, Taehyeon; Oh, Jaehoon; Kim, Nak Yil; Cho, Sangwook; Yun, Se-Young, 30th International Joint Conference on Artificial Intelligence (IJCAI-21), pp.2628 - 2635, IJCAI, 2021-08-24 |
CSMA using the Bethe Approximation for Utility Maximization Yun, Se-Young; Shin, Jinwoo; Yi, Yung, IEEE International Symposium on Information Theory (ISIT) 2013, pp.206 - 210, IEEE, 2013-07-07 |
CSMA Using the Bethe Approximation: Scheduling and Utility Maximization Yun, Se-Young; Shin, Jinwoo; Yi, Yung, IEEE TRANSACTIONS ON INFORMATION THEORY, v.61, no.9, pp.4776 - 4787, 2015-09 |
Decentralized power control scheme in femtocell networks: A game theoretic approach Eun Jin Hong; Yun, Se-Young; Cho, Dong-Ho, 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009, IEEE, 2009-09-13 |
Delay Optimal CSMA With Linear Virtual Channels Under a General Topology Yun, Dong Gyu; Lee, Dongmyung; Yun, Se-Young; Shin, Jinwoo; Yi, Yung, IEEE-ACM TRANSACTIONS ON NETWORKING, v.24, no.5, pp.2879 - 2889, 2016-10 |
Distributed Medium Access Over Time-Varying Channels Yun, Se-Young; Shin, Jinwoo; Yi, Yung, IEEE-ACM TRANSACTIONS ON NETWORKING, v.24, no.5, pp.3000 - 3013, 2016-10 |
Distributed proportional fair load balancing in heterogenous systems Yun, Se-Young; Proutiere, Alexandre, ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2015, pp.17 - 30, ACM Special Interest Group on Performance Evaluation (SIGMETRICS), 2015-06-17 |
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 |
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 |
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 |
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 |
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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