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Jisoo Mok
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2020 – today
- 2024
- [j1]Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1618-1634 (2024) - [c9]Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon:
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. NAACL (Industry Track) 2024: 419-426 - [i10]Kukjin Choi, Jihun Yi, Jisoo Mok, Sungroh Yoon:
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation. CoRR abs/2406.12260 (2024) - [i9]Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon:
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. CoRR abs/2407.12016 (2024) - [i8]Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon:
Textual Training for the Hassle-Free Removal of Unwanted Visual Data. CoRR abs/2409.19840 (2024) - 2023
- [c8]Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon:
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. ACL (1) 2023: 12573-12589 - [c7]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS 2023 - [i7]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR abs/2310.16492 (2023) - 2022
- [c6]Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon:
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CVPR 2022: 11851-11860 - [c5]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. ICML 2022: 16253-16269 - [i6]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR abs/2201.12738 (2022) - [i5]Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon:
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CoRR abs/2203.14577 (2022) - [i4]Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. CoRR abs/2204.04890 (2022) - 2021
- [c4]Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon:
Variance-stationary Differentiable NAS. BMVC 2021: 162 - [c3]Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. ICCV 2021: 12302-12312 - [c2]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. IJCAI 2021: 2848-2854 - [c1]Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon:
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. NeurIPS 2021: 27408-27421 - [i3]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. CoRR abs/2106.04784 (2021) - [i2]Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. CoRR abs/2108.01289 (2021) - [i1]Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon:
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. CoRR abs/2110.06530 (2021)
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last updated on 2024-10-21 21:27 CEST by the dblp team
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