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Yiyou Sun
Yiyou Sun
Verified email at berkeley.edu - Homepage
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Cited by
Cited by
Year
Out-of-distribution detection with deep nearest neighbors
Y Sun, Y Ming, X Zhu, Y Li
International Conference on Machine Learning, 20827-20840, 2022
4792022
React: Out-of-distribution detection with rectified activations
Y Sun, C Guo, Y Li
Advances in Neural Information Processing Systems 34, 144-157, 2021
4602021
Interpretable basis decomposition for visual explanation
B Zhou, Y Sun, D Bau, A Torralba
Proceedings of the European Conference on Computer Vision (ECCV), 119-134, 2018
3582018
Openood: Benchmarking generalized out-of-distribution detection
J Yang, P Wang, D Zou, Z Zhou, K Ding, W Peng, H Wang, G Chen, B Li, ...
Advances in Neural Information Processing Systems 35, 32598-32611, 2022
2172022
Dice: Leveraging sparsification for out-of-distribution detection
Y Sun, Y Li
European Conference on Computer Vision, 691-708, 2022
1822022
Delving into out-of-distribution detection with vision-language representations
Y Ming, Z Cai, J Gu, Y Sun, W Li, Y Li
Advances in neural information processing systems 35, 35087-35102, 2022
1512022
Revisiting the importance of individual units in cnns via ablation
B Zhou, Y Sun, D Bau, A Torralba
arXiv preprint arXiv:1806.02891, 2018
1512018
Cider: Exploiting hyperspherical embeddings for out-of-distribution detection
Y Ming, Y Sun, O Dia, Y Li
arXiv preprint arXiv:2203.04450 7 (10), 2022
1362022
Openood v1. 5: Enhanced benchmark for out-of-distribution detection
J Zhang, J Yang, P Wang, H Wang, Y Lin, H Zhang, Y Sun, X Du, K Zhou, ...
arXiv preprint arXiv:2306.09301, 2023
922023
Rethinking domain generalization for face anti-spoofing: Separability and alignment
Y Sun, Y Liu, X Liu, Y Li, WS Chu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
592023
OpenCon: Open-world Contrastive Learning
Y Sun, Y Li
Transactions of Machine Learning Research, 2023
582023
The Periodic Table of Data Structures
S Idreos, K Zoumpatianos, M Athanassoulis, N Dayan, B Hentschel, ...
IEEE Data Engineering Bulletin 41 (3), 64-75, 2018
45*2018
Dream the impossible: Outlier imagination with diffusion models
X Du, Y Sun, J Zhu, Y Li
Advances in Neural Information Processing Systems 36, 2024
362024
Learning data structure alchemy
S Idreos, K Zoumpatianos, S Chatterjee, W Qin, A Wasay, B Hentschel, ...
Bulletin of the IEEE Computer Society Technical Committee on Data …, 2019
31*2019
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
Y Sun, Z Shi, Y Liang, Y Li
International Conference on Machine Learning, 2023
222023
Adaptive activation thresholding: Dynamic routing type behavior for interpretability in convolutional neural networks
Y Sun, SN Ravi, V Singh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
202019
Faster R-CNN based autonomous navigation for vehicles in warehouse
Y Sun, T Su, Z Tu
2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2017
192017
A graph-theoretic framework for understanding open-world semi-supervised learning
Y Sun, Z Shi, Y Li
Advances in Neural Information Processing Systems 36, 2024
132024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
SS Ghosal, Y Sun, Y Li
Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 19849 …, 2024
62024
Uncertainty decomposition and quantification for in-context learning of large language models
C Ling, X Zhao, W Cheng, Y Liu, Y Sun, X Zhang, M Oishi, T Osaki, ...
arXiv preprint arXiv:2402.10189, 2024
62024
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