Shin, Jinwoo

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

Tack, J., Mo, S., Jeong, J., & Shin, J. (2020) · arXiv

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 351

Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Park, S., Lee, J., Mo, S., & Shin, J. (2020) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 58

ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification

Lee, H., Oh, S., Kim, J., Shin, J., & Tack, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Seo, Y., Lee, K., Clavera, I., Kurutach, T., Shin, J., & Abbeel, P. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 20

A Definition of AGI

Hendrycks, D., Song, D., Szegedy, C., Lee, H., Gal, Y., Brynjolfsson, E., Li, S., Zou, A., Levine, L., Han, B., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 3

MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement

Nam, J., Yoon, J., Chen, J., Shin, J., Arık, S. Ö., & Pfister, T. (2025) · arXiv

Software Engineering ResearchMachine Learning and Data Classification

Cited by 1

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction

Jang, H., Yu, S., Shin, J., Abbeel, P., & Seo, Y. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0