Jisoo Mok

32 papers A* 10A 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift.
AAAI
HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon
2026 J jnl
Contextualized Visual Personalization in Vision-Language Models.
CoRR
Yeongtak Oh, Sangwon Yu, Junsung Park, Han Cheol Moon, Jisoo Mok, Sungroh Yoon
2025 A* conf
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation.
AAAI
HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon
2025 J jnl
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation.
CoRR
HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon
2025 A* conf
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection.
ICML
HyunGi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon
2025 J jnl
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection.
CoRR
HyunGi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon
2025 — conf
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis.
ACL (1)
Jisoo Mok, Ik-hwan Kim, Sangkwon Park, Sungroh Yoon
2025 J jnl
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis.
CoRR
Jisoo Mok, Ik-hwan Kim, Sangkwon Park, Sungroh Yoon
2025 J jnl
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models.
CoRR
Yeongtak Oh, Jisoo Mok, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Sungroh Yoon
2025 J jnl
SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination.
CoRR
Sangha Park, Seungryong Yoo, Jisoo Mok, Sungroh Yoon
2024 J jnl
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization.
IEEE Trans. Pattern Anal. Mach. Intell.
Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon
2024 — conf
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems.
NAACL (Industry Track)
Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon
2024 J jnl
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems.
CoRR
Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon
2024 J jnl
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation.
CoRR
Kukjin Choi, Jihun Yi, Jisoo Mok, Sungroh Yoon
2024 J jnl
Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens.
CoRR
Jaihyun Lew, Soohyuk Jang, Jaehoon Lee, Seungryong Yoo, Eunji Kim, Saehyung Lee, Jisoo Mok, Siwon Kim, Sungroh Yoon
2024 J jnl
Textual Training for the Hassle-Free Removal of Unwanted Visual Data.
CoRR
Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
2024 A* conf
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection.
NeurIPS
Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
2023 — conf
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It.
ACL (1)
Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon
2023 A* conf
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection.
NeurIPS
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
2023 J jnl
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection.
CoRR
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
2022 J jnl
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization.
CoRR
Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon
2022 A* conf
AutoSNN: Towards Energy-Efficient Spiking Neural Networks.
ICML
Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
2022 J jnl
AutoSNN: Towards Energy-Efficient Spiking Neural Networks.
CoRR
Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
2022 A* conf
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
CVPR
Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
2022 J jnl
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
CoRR
Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
2021 A* conf
Accelerating Neural Architecture Search via Proxy Data.
IJCAI
Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
2021 J jnl
Accelerating Neural Architecture Search via Proxy Data.
CoRR
Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
2021 A* conf
AdvRush: Searching for Adversarially Robust Neural Architectures.
ICCV
Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon
2021 J jnl
AdvRush: Searching for Adversarially Robust Neural Architectures.
CoRR
Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon
2021 A* conf
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation.
NeurIPS
Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon
2021 J jnl
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation.
CoRR
Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon
2021 A conf
Variance-stationary Differentiable NAS.
BMVC
Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon