Variance-stationary Differentiable NAS. - Hyeokjun Choe; Byunggook Na; Jisoo Mok; Sungroh Yoon (BMVC, 2021)

AdvRush: Searching for Adversarially Robust Neural Architectures. - Jisoo Mok; Byunggook Na; Hyeokjun Choe; Sungroh Yoon (ICCV, 2021)

Accelerating Neural Architecture Search via Proxy Data. - Byunggook Na; Jisoo Mok; Hyeokjun Choe; Sungroh Yoon (IJCAI, 2021)

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. - Jungbeom Lee; Jooyoung Choi; Jisoo Mok; Sungroh Yoon (NeurIPS, 2021)

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 (CVPR, 2022)

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

Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. - Jisoo Mok; Jaeyoung Do; Sungjin Lee; Tara Taghavi; Seunghak Yu; Sungroh Yoon (ACL (1), 2023)

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

LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. - Jisoo Mok; Mohammad Kachuee; Shuyang Dai; Shayan Ray; Tara Taghavi; Sungroh Yoon (NAACL (Industry Track), 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, 2024)

Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation. - Kukjin Choi; Jihun Yi; Jisoo Mok; Sungroh Yoon (CoRR, 2024)

Textual Training for the Hassle-Free Removal of Unwanted Visual Data. - Saehyung Lee; Jisoo Mok; Sangha Park; Yongho Shin; Dahuin Jung; Sungroh Yoon (CoRR, 2024)

Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens. - Jaihyun Lew; Soohyuk Jang; Jaehoon Lee; Seungryong Yoo; Eunji Kim 002; Saehyung Lee; Jisoo Mok; Siwon Kim; Sungroh Yoon (CoRR, 2024)

Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. - Jungbeom Lee; Eunji Kim 002; Jisoo Mok; Sungroh Yoon (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation. - HyunGi Kim; Siwon Kim; Jisoo Mok; Sungroh Yoon (AAAI, 2025)

Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis. - Jisoo Mok; Ik-hwan Kim; Sangkwon Park; Sungroh Yoon (ACL (1), 2025)

Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection. - HyunGi Kim; Jisoo Mok; Dongjun Lee; Jaihyun Lew; Sungjae Kim; Sungroh Yoon (CoRR, 2025)

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