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Improving neural networks by preventing co-adaptation of feature detectors阅读

论文阅读(1)--Fine-grained Image Classification by Exploring Bipartite-Graph Labels

《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》阅读笔记与实现

阅读小结：InfoGAN:Interpretable Representation Learning by Information Maximising Generative Adversarial

阅读笔记4：CSK：Exploiting the Circulant Structure of Tracking-by-detection with Kernels

论文阅读：Cvpr 2015 Face Alignment by Coarse-to-Fine Shape Searching

论文阅读：Segmentation of teeth in CT volumetric dataset by panoramic projection and variational level se

【论文阅读】Neural Machine Translation By Jointly Learning To Align and Translate

Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer(阅读报告)

论文阅读笔记－ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering

论文阅读：《Neural Machine Translation by Jointly Learning to Align and Translate》

【论文阅读】Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-S

《2006_ICPR_Low Resolution Character Recognition by Image Quality Evaluation》阅读笔记

《Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors》阅读笔记

Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift 阅读笔记与实现

[论文阅读] Low-shot Visual Recognition by Shrinking and Hallucinating Features

CVPR 2017 Multiple People Tracking by Lifted Multicut and Person Re-identification 阅读笔记

ICCV 2015 Learning to Track: Online Multi-Object Tracking by Decision Making 阅读笔记

Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network论文阅读

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