E-LIB Suche - Ergebnisse für: Yun, Se-Young

1

Re-Thinking Federated Active Learning Based on Inter-Class ..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Kim, SangMook ; Bae, Sangmin ; Song, Hwanjun. - p. 3944-3953 , 2023

Link: https://doi.org/10.1109/..

2

Coreset Sampling from Open-Set for Fine-Grained Self-Superv..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Kim, Sungnyun ; Bae, Sangmin ; Yun, Se-Young - p. 7537-7547 , 2023

Link: https://doi.org/10.1109/..

3

FedRN : Exploiting k-Reliable Neighbors Towards Robust F..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,

Kim, Sangmook ; Shin, Wonyoung ; Jang, Soohyuk.. - p. 972-981 , 2022

Link: https://dl.acm.org/doi/1..

4

Calibration of Few-Shot Classification Tasks: Mitigating Mi..:

Kim, Sungnyun ; Yun, Se-Young
IEEE Access. 10 (2022) - p. 53894-53908 , 2022

Link: https://doi.org/10.1109/..

5

Revisiting Orthogonality Regularization: A Study for Convol..:

Kim, Taehyeon ; Yun, Se-Young
IEEE Access. 10 (2022) - p. 69741-69749 , 2022

Link: https://doi.org/10.1109/..

6

ReFine: Re-randomization before Fine-tuning for Cross-domai..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,

Oh, Jaehoon ; Kim, Sungnyun ; Ho, Namgyu... - p. 4359-4363 , 2022

Link: https://dl.acm.org/doi/1..

7

Interpretable Deep Learning Model for Analyzing the Relatio..:

Hong, Doosun ; Oh, Jaehoon ; Bang, Kihoon...
The Journal of Physical Chemistry Letters. 13 (2022) 37 - p. 8628-8634 , 2022

Link: https://doi.org/10.1021/..

8

A test score-based approach to stochastic submodular optimi..:

, In: Management science

Sekar, Shreyas ; Vojnovic, Milan ; Yun, Se-Young. (2021) 2 - p. 1075-1092

Copies: Zentrale;

9

CLUSTERING IN BLOCK MARKOV CHAINS:

Sanders, Jaron ; Proutière, Alexandre ; Yun, Se-Young
The Annals of Statistics. 48 (2020) 6 - p. 3488-3512 , 2020

Link: https://www.jstor.org/st..

10

FEWER : Federated Weight Recovery:

, In: Proceedings of the 1st Workshop on Distributed Machine Learning,

Shin, Yongjin ; Lee, Gihun ; Shin, Seungjae.. - p. 1-6 , 2020

Link: https://dl.acm.org/doi/1..

11

A pipelined hybrid recommender system for ranking the items..:

, In: Proceedings of the Workshop on ACM Recommender Systems Challenge,

Oh, Jaehoon ; Kim, Sangmook ; Yun, Se-Young.. - p. 1-5 , 2019

Link: https://dl.acm.org/doi/1..

12

Reinforcement with Fading Memories:

Xu, Kuang ; Yun, Se-Young
ACM SIGMETRICS Performance Evaluation Review. 46 (2019) 1 - p. 90-92 , 2019

Link: https://doi.org/10.1145/..

13

Reinforcement with Fading Memories:

Xu, Kuang ; Yun, Se-Young
ACM SIGMETRICS Performance Evaluation Review. 46 (2019) 1 - p. 90-92 , 2019

Link: https://dl.acm.org/doi/1..

14

Reinforcement with Fading Memories:

, In: Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems,

Xu, Kuang ; Yun, Se-Young - p. 90-92 , 2018

Link: https://dl.acm.org/doi/1..

15

Reinforcement with Fading Memories:

Xu, Kuang ; Yun, Se-Young
ACM SIGMETRICS Performance Evaluation Review. 46 (2018) 1 - p. 90-92 , 2018

Link: https://doi.org/10.1145/..