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Dropout Prediction Variation Estimation Using Neuron Activation Strength


Oct 25, 2021
Haichao Yu, Zhe Chen, Dong Lin, Gil Shamir, Jie Han


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Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images


Jul 14, 2021
Lei Ding, Dong Lin, Shaofu Lin, Jing Zhang, Xiaojie Cui, Yuebin Wang, Hao Tang, Lorenzo Bruzzone


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Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images


Jul 01, 2021
Lei Ding, Dong Lin, Shaofu Lin, Jing Zhang, Xiaojie Cui, Yuebin Wang, Hao Tang, Lorenzo Bruzzone


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MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images


Nov 16, 2020
Lei Ding, Kai Zheng, Dong Lin, Yuxing Chen, Bing Liu, Jiansheng Li, Lorenzo Bruzzone


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Smooth activations and reproducibility in deep networks


Oct 20, 2020
Gil I. Shamir, Dong Lin, Lorenzo Coviello


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DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems


Aug 19, 2020
Ruoxi Wang, Rakesh Shivanna, Derek Z. Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi


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Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems


Aug 17, 2020
Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui

* 9 pages 

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Small Towers Make Big Differences


Aug 13, 2020
Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi


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Understanding and Improving Knowledge Distillation


Feb 10, 2020
Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain


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