Search Results - Ok, Jungseul

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  1. 1
    Optimal Inference in Crowdsourced Classification via Belief Propagation

    Optimal Inference in Crowdsourced Classification via Belief Propagation by Ok, Jungseul, Oh, Sewoong, Shin, Jinwoo, Yi, Yung

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  2. 2
    On Maximizing Diffusion Speed Over Social Networks With Strategic Users

    On Maximizing Diffusion Speed Over Social Networks With Strategic Users by Ok, Jungseul, Jin, Youngmi, Shin, Jinwoo, Yi, Yung

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  3. 3
    Activity-Informed Industrial Audio Anomaly Detection Via Source Separation

    Activity-Informed Industrial Audio Anomaly Detection Via Source Separation by Kim, Jaechang, Lee, Yunjoo, Cho, Hyun Mi, Kim, Dong Woo, Song, Chi Hoon, Ok, Jungseul

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  4. 4
    Embedding of virtual network requests over static wireless multihop networks

    Embedding of virtual network requests over static wireless multihop networks by Yun, Donggyu, Ok, Jungseul, Shin, Bongjhin, Park, Soobum, Yi, Yung

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  5. 5
    Optimal Rate Sampling in 802.11 systems

    Optimal Rate Sampling in 802.11 systems by Combes, Richard, Proutiere, Alexandre, Donggyu Yun, Jungseul Ok, Yung Yi

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  6. 6
    Transfer Learning in Bandits With Latent Continuity

    Transfer Learning in Bandits With Latent Continuity by Park, Hyejin, Shin, Seiyun, Jun, Kwang-Sung, Ok, Jungseul

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  7. 7
    Optimal clustering from noisy binary feedback

    Optimal clustering from noisy binary feedback by Ariu, Kaito, Ok, Jungseul, Proutiere, Alexandre, Yun, Seyoung

    Published in Machine learning
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  8. 8
    On the progressive spread over strategic diffusion: Asymptotic and computation

    On the progressive spread over strategic diffusion: Asymptotic and computation by Jungseul Ok, Jinwoo Shin, Yung Yi

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  9. 9
    On the impact of global information on diffusion of innovations over social networks

    On the impact of global information on diffusion of innovations over social networks by Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin

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  10. 10
    Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution

    Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution by Kim, Jaechang, Lee, Yunjoo, Hong, Seunghoon, Ok, Jungseul

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  11. 11
    Few-shot Unlearning

    Few-shot Unlearning by Yoon, Youngsik, Nam, Jinhwan, Yun, Hyojeong, Lee, Jaeho, Kim, Dongwoo, Ok, Jungseul

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  12. 12
    Power of Bonus in Pricing for Crowdsourcing

    Power of Bonus in Pricing for Crowdsourcing by Shin, Suho, Choi, Hoyong, Yi, Yung, Ok, Jungseul

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  13. 13
    CLIPtone: Unsupervised Learning for Text-Based Image Tone Adjustment

    CLIPtone: Unsupervised Learning for Text-Based Image Tone Adjustment by Lee, Hyeongmin, Kang, Kyoungkook, Ok, Jungseul, Cho, Sunghyun

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  14. 14
    MedBN: Robust Test-Time Adaptation against Malicious Test Samples

    MedBN: Robust Test-Time Adaptation against Malicious Test Samples by Park, Hyejin, Hwang, Jeongyeon, Mun, Sunung, Park, Sangdon, Ok, Jungseul

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  15. 15
    Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning

    Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning by Ko, Byungchan, Jungseul Ok

    Published in arXiv.org
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  16. 16
    On the impact of global information on diffusion of innovations over social networks

    On the impact of global information on diffusion of innovations over social networks by Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin

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  17. 17
    Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning

    Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning by Ko, Byungchan, Jungseul Ok

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  18. 18
    Influence maximization over strategic diffusion in social networks

    Influence maximization over strategic diffusion in social networks by Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, Yung Yi

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  19. 19
    Active Preference-based Learning for Multi-dimensional Personalization

    Active Preference-based Learning for Multi-dimensional Personalization by Oh, Minhyeon, Lee, Seungjoon, Jungseul Ok

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  20. 20
    Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients

    Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients by Koo, Jabin, Jang, Minwoo, Jungseul Ok

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