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Sharon Yixuan Li
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Year
Stacked Generative Adversarial Networks
X Huang, Y Li, O Poursaeed, J Hopcroft, S Belongie
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2630*2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
S Liang, Y Li, R Srikant
International Conference on Learning Representation (ICLR'18), 2018
9772018
Exploring the limits of weakly supervised pretraining
D Mahajan, R Girshick, V Ramanathan, K He, M Paluri, Y Li, A Bharambe, ...
Proceedings of the European conference on computer vision (ECCV), 181-196, 2018
9422018
Snapshot Ensembles: Train 1, Get M for Free
G Huang*, Y Li*, G Pleiss, Z Liu, JE Hopcroft, KQ Weinberger
International Conference on Learning Representation (ICLR 2017), 2017
6442017
Convergent Learning: Do different neural networks learn the same representations?
Y Li, J Yosinski, J Clune, H Lipson, J Hopcroft
International Conference on Learning Representation (ICLR'16), 2015
2192015
Energy-based Out-of-distribution Detection
W Liu, X Wang, J Owens, Y Li
Advances in Neural Information Processing Systems 33, 2020
1762020
Uncovering the small community structure in large networks: A local spectral approach
Y Li, K He, D Bindel, JE Hopcroft
Proceedings of the 24th international conference on world wide web, 658-668, 2015
1192015
The lifecycle and cascade of wechat social messaging groups
J Qiu, Y Li, J Tang, Z Lu, H Ye, B Chen, Q Yang, JE Hopcroft
Proceedings of the 25th International Conference on World Wide Web, 311-320, 2016
842016
Local spectral clustering for overlapping community detection
Y Li, K He, K Kloster, D Bindel, J Hopcroft
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (2), 1-27, 2018
73*2018
Deep manifold traversal: Changing labels with convolutional features
JR Gardner, P Upchurch, MJ Kusner, Y Li, KQ Weinberger, K Bala, ...
arXiv preprint arXiv:1511.06421, 2015
732015
Understanding the loss surface of neural networks for binary classification
S Liang, R Sun, Y Li, R Srikant
International Conference on Machine Learning (ICML), 2835-2843, 2018
662018
Detecting overlapping communities from local spectral subspaces
K He, Y Sun, D Bindel, J Hopcroft, Y Li
2015 IEEE international conference on data mining, 769-774, 2015
642015
Generalized out-of-distribution detection: A survey
J Yang, K Zhou, Y Li, Z Liu
arXiv preprint arXiv:2110.11334, 2021
482021
Defense against adversarial images using web-scale nearest-neighbor search
A Dubey, L Maaten, Z Yalniz, Y Li, D Mahajan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
472019
In a world that counts: Clustering and detecting fake social engagement at scale
Y Li, O Martinez, X Chen, Y Li, JE Hopcroft
Proceedings of the 25th International Conference on World Wide Web, 111-120, 2016
432016
Robust Out-of-distribution Detection in Neural Networks
J Chen, Y Li, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2003.09711, 2020
382020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
K Goel, A Gu, Y Li, C Ré
International Conference on Learning Representation (ICLR), 2021
372021
Towards Measuring and Inferring User Interest From Gaze
Y Li, P Xu, D Lagun, V Navalpakkam
Proceedings of 26th International Conference on World Wide Web (WWW'17), 2017
352017
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
R Huang, Y Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
242021
MOOD: Multi-level Out-of-distribution Detection
Z Lin, SD Roy, Y Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
232021
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