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Why Does Multi-Epoch Training Help?


May 13, 2021
Yi Xu, Qi Qian, Hao Li, Rong Jin


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On Stochastic Moving-Average Estimators for Non-Convex Optimization


Apr 30, 2021
Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang


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Learning Position and Target Consistency for Memory-based Video Object Segmentation


Apr 09, 2021
Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin


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A Theoretical Analysis of Learning with Noisily Labeled Data


Apr 08, 2021
Yi Xu, Qi Qian, Hao Li, Rong Jin


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Self-supervised Video Representation Learning by Context and Motion Decoupling


Apr 02, 2021
Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin

* Accepted by CVPR2021 

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Self-supervised Motion Learning from Static Images


Apr 01, 2021
Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo Ang

* To appear in CVPR 2021 

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CobBO: Coordinate Backoff Bayesian Optimization


Feb 16, 2021
Jian Tan, Niv Nayman, Mengchang Wang, Feifei Li, Rong Jin

* Jian Tan and Niv Nayman contributed equally. An implementation of CobBO is available at: https://github.com/Alibaba-MIIL/CobBO 

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Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning


Feb 09, 2021
Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

* Accepted by AAAI2021 

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Large-Scale Training System for 100-Million Classification at Alibaba


Feb 09, 2021
Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin

* Accepted by KDD 2020. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (2020) 

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Visual Search at Alibaba


Feb 09, 2021
Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin

* KDD 2018: 993-1001 
* accepted by KDD 2018 

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Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance


Feb 09, 2021
Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin

* CIKM 2019: 2489-2497 
* accepted by CIKM 2019 

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Large-Scale Visual Search with Binary Distributed Graph at Alibaba


Feb 09, 2021
Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin

* This paper has been accepted by CIKM2019. Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2019 

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Large Scale Long-tailed Product Recognition System at Alibaba


Feb 09, 2021
Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin

* In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM20), 3353-3356 (2020) 
* Acccepted by CIKM 2020 

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A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks


Feb 08, 2021
Asaf Noy, Yi Xu, Yonathan Aflalo, Lihi Zelnik-Manor, Rong Jin


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Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition


Feb 01, 2021
Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin


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On the Convergence of Deep Networks with Sample Quadratic Overparameterization


Jan 12, 2021
Asaf Noy, Yi Xu, Yonathan Aflalo, Rong Jin


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Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research


Jan 04, 2021
Rong Jin, Weili Wu


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Attentional Biased Stochastic Gradient for Imbalanced Classification


Dec 13, 2020
Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang

* 25pages, 10 figures 

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Vision-based Price Suggestion for Online Second-hand Items


Dec 10, 2020
Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin


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Price Suggestion for Online Second-hand Items with Texts and Images


Dec 10, 2020
Liang Han, Zhaozheng Yin, Zhurong Xia, Mingqian Tang, Rong Jin


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Learning Accurate Entropy Model with Global Reference for Image Compression


Oct 29, 2020
Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin


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WeMix: How to Better Utilize Data Augmentation


Oct 03, 2020
Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin


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Neural Architecture Design for GPU-Efficient Networks


Jul 12, 2020
Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin


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Towards Understanding Label Smoothing


Jun 20, 2020
Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin


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A Practical Online Method for Distributionally Deep Robust Optimization


Jun 17, 2020
Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

* 20 pages, 8 figures 

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Representation Learning with Fine-grained Patterns


May 19, 2020
Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu


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SoftTriple Loss: Deep Metric Learning Without Triplet Sampling


Sep 11, 2019
Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin

* accepted by ICCV'19 

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