Mok, Jisoo

10 publications

AAAI 2025 Battling the Non-Stationarity in Time Series Forecasting via Test-Time Adaptation HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon

ICML 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection Hyungi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon

NeurIPS 2025 RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models Yeongtak Oh, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Jisoo Mok, Sungroh Yoon

NeurIPS 2024 Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon

NeurIPS 2023 On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon

ICML 2022 AutoSNN: Towards Energy-Efficient Spiking Neural Networks Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon

CVPR 2022 Demystifying the Neural Tangent Kernel from a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon

IJCAI 2021 Accelerating Neural Architecture Search via Proxy Data Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon

ICCV 2021 AdvRush: Searching for Adversarially Robust Neural Architectures Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon

NeurIPS 2021 Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon