Ren, Jie

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Ovadia, Y., Fertig, E., Ren, J., Nado, Z., Sculley, D., Nowozin, S., Dillon, J. V., Lakshminarayanan, B., & Snoek, J. (2019) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 989

Exploring the Limits of Out-of-Distribution Detection

Fort, S., Ren, J., & Lakshminarayanan, B. (2021) · arXiv

Adversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications

Cited by 142

Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions

Guha Roy, A., Ren, J., Azizi, S., Loh, A., Natarajan, V., Mustafa, B., Pawlowski, N., Freyberg, J., Liu, Y., Beaver, Z., et al. (2022) · Medical Image Analysis

Anomaly Detection Techniques and ApplicationsCutaneous Melanoma Detection and Management

Cited by 77

Explaining Neural Networks Semantically and Quantitatively

Chen, R., Chen, H., Huang, G., Ren, J., & Zhang, Q. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 56

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Cui, Y., Ren, J., Xu, H., He, P., Liu, H., Sun, L., Xing, Y., & Tang, J. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

Cited by 15

Self-Evaluation Improves Selective Generation in Large Language Models

Ren, J., Zhao, Y., Vu, T., Liu, P. J., & Lakshminarayanan, B. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5