Paper-Reading_综合

 
 更新时间：2022-01-18
 
 Computer Vision 
 
    序号
    论文详解
    链接
   
    01
    VGG——Very Deep Convolutional Network For Large-Scale Image Recognition
    链接
   
    02
    Dynamic Routing Between Capsules
    链接
   
    03
    Convolutional Clustering for Unsupervised Learning
    链接
   
    04
    Tutorial on Variational AutoEncoder
    链接
   
    05
    Squeeze-and-Excitation Networks
    -
   
    06
    Distilling the Knowledge in a Neural Network
    链接
   
 Recommend System 
 
    序号
    论文详解
    链接
   
    01
    DCN——Deep & Cross Network for Ad Click Prediction
    -
   
    02
    xDeepFM：Combining Explicit and Implicit Feature Interactions for Recommender Systems
    链接
   
    03
    Deep Session Interest Network for Click-Through Rate Prediction
    链接
   
    04
    Representation Learning-Assisted Click-Through Rate Prediction (DeepMCP)
    -
   
    05
    MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
    链接
   
    06
    FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
    链接

序号	论文详解	链接
01	VGG——Very Deep Convolutional Network For Large-Scale Image Recognition	链接
02	Dynamic Routing Between Capsules	链接
03	Convolutional Clustering for Unsupervised Learning	链接
04	Tutorial on Variational AutoEncoder	链接
05	Squeeze-and-Excitation Networks	-
06	Distilling the Knowledge in a Neural Network	链接

序号	论文详解	链接
01	DCN——Deep & Cross Network for Ad Click Prediction	-
02	xDeepFM：Combining Explicit and Implicit Feature Interactions for Recommender Systems	链接
03	Deep Session Interest Network for Click-Through Rate Prediction	链接
04	Representation Learning-Assisted Click-Through Rate Prediction (DeepMCP)	-
05	MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask	链接
06	FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction	链接