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On the Importance of Gradients for Detecting Distributional Shifts in the Wild


Oct 09, 2021
Rui Huang, Andrew Geng, Yixuan Li

* Accepted in NeurIPS 2021 

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Can multi-label classification networks know what they don't know?


Sep 29, 2021
Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li

* Paper published at NeurIPS 2021 

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On the Impact of Spurious Correlation for Out-of-distribution Detection


Sep 12, 2021
Yifei Ming, Hang Yin, Yixuan Li


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MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions


May 16, 2021
Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang

* One track of DeeperAction [email protected] HomePage: https://deeperaction.github.io/multisports/ 

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MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space


May 05, 2021
Rui Huang, Yixuan Li

* Paper accepted as an oral presentation in CVPR'21 

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MOOD: Multi-level Out-of-distribution Detection


Apr 30, 2021
Ziqian Lin, Sreya Dutta Roy, Yixuan Li

* 12 pages, 8 figures, CVPR2021 

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Energy-based Out-of-distribution Detection


Oct 13, 2020
Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li


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Model Patching: Closing the Subgroup Performance Gap with Data Augmentation


Aug 15, 2020
Karan Goel, Albert Gu, Yixuan Li, Christopher Ré


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Learning Implicit Credit Assignment for Multi-Agent Actor-Critic


Jul 06, 2020
Meng Zhou, Ziyu Liu, Pengwei Sui, Yixuan Li, Yuk Ying Chung


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Robust Out-of-distribution Detection via Informative Outlier Mining


Jun 26, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha


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Robust Out-of-distribution Detection for Neural Networks


Apr 05, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha


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Robust Out-of-distribution Detection in Neural Networks


Mar 24, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha


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Actions as Moving Points


Jan 14, 2020
Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu

* Technical Report 

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Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search


Mar 05, 2019
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan

* CVPR 2019 Oral presentation; camera-ready with supplement (14 pages) 

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Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data


Sep 02, 2018
Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu

* 19 pages 

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Exploring the Limits of Weakly Supervised Pretraining


May 02, 2018
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

* Technical report 

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Understanding the Loss Surface of Neural Networks for Binary Classification


Mar 05, 2018
Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant


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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks


Feb 25, 2018
Shiyu Liang, Yixuan Li, R. Srikant


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Stacked Generative Adversarial Networks


Apr 12, 2017
Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, Serge Belongie

* CVPR 2017, camera-ready version 

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Snapshot Ensembles: Train 1, get M for free


Apr 01, 2017
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger


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Deep Manifold Traversal: Changing Labels with Convolutional Features


Mar 17, 2016
Jacob R. Gardner, Paul Upchurch, Matt J. Kusner, Yixuan Li, Kilian Q. Weinberger, Kavita Bala, John E. Hopcroft


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Convergent Learning: Do different neural networks learn the same representations?


Feb 28, 2016
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John Hopcroft

* Published as a conference paper at ICLR 2016 

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