| Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments J Zhang, N Inkawhich, R Linderman, Y Chen, H Li Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 26 | 2023 |
| Fine-grain inference on out-of-distribution data with hierarchical classification R Linderman, J Zhang, N Inkawhich, H Li, Y Chen Conference on Lifelong Learning Agents, 162-183, 2023 | 5 | 2023 |
| Sio: Synthetic in-distribution data benefits out-of-distribution detection J Zhang, N Inkawhich, R Linderman, R Luley, Y Chen, H Li arXiv preprint arXiv:2303.14531, 2023 | 1 | 2023 |
| OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery M Inkawhich, N Inkawhich, H Yang, J Zhang, R Linderman, Y Chen arXiv preprint arXiv:2404.10865, 2024 | | 2024 |
| Exploring Vulnerability and Robustness of Deep Learning Systems Y Chen, M Inkawhich, J Zhang, R Linderman | | 2022 |
