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Jisoo Mok
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Cited by
Year
Reducing information bottleneck for weakly supervised semantic segmentation
J Lee, J Choi, J Mok, S Yoon
Advances in neural information processing systems 34, 27408-27421, 2021
1512021
Autosnn: Towards energy-efficient spiking neural networks
B Na, J Mok, S Park, D Lee, H Choe, S Yoon
International Conference on Machine Learning, 16253-16269, 2022
662022
AdvRush: Searching for adversarially robust neural architectures
J Mok, B Na, H Choe, S Yoon
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
442021
Anti-adversarially manipulated attributions for weakly supervised semantic segmentation and object localization
J Lee, E Kim, J Mok, S Yoon
IEEE transactions on pattern analysis and machine intelligence 46 (3), 1618-1634, 2022
212022
Demystifying the neural tangent kernel from a practical perspective: Can it be trusted for neural architecture search without training?
J Mok, B Na, JH Kim, D Han, S Yoon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
21*2022
Accelerating neural architecture search via proxy data
B Na, J Mok, H Choe, S Yoon
arXiv preprint arXiv:2106.04784, 2021
192021
Large-scale lifelong learning of in-context instructions and how to tackle it
J Mok, J Do, S Lee, T Taghavi, S Yu, S Yoon
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
112023
On the powerfulness of textual outlier exposure for visual ood detection
S Park, J Mok, D Jung, S Lee, S Yoon
Advances in Neural Information Processing Systems 36, 51675-51687, 2023
62023
Variance-stationary differentiable NAS
H Choe, B Na, J Mok, S Yoon
architecture 3 (10), 16-20, 2021
32021
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
J Mok, M Kachuee, S Dai, S Ray, T Taghavi, S Yoon
arXiv preprint arXiv:2407.12016, 2024
12024
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation
K Choi, J Yi, J Mok, S Yoon
arXiv preprint arXiv:2406.12260, 2024
12024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data
S Lee, J Mok, S Park, Y Shin, D Jung, S Yoon
arXiv preprint arXiv:2409.19840, 2024
2024
Reduce, Reuse, and Recycle: Navigating Test-Time Adaptation with OOD-Contaminated Streams
J Mok, J Lee, S Lee, S Yoon
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Articles 1–13