Learning Adaptive Filter Banks for Hierarchical Image Representation

Wepresentanewcompactbutdenserepresentationofscenegeometrywhichisconditionedontheintensitydatafromasi

深度神经网络（DNN）逐层计算表示形式，在管道的顶层生成最终表示形式，并使用最终表示形式进行分类或回归。许多DNN（例如ResNet，DenseNet）已经表明，来自较早层的表示可能是有益的。.. 他

Inductiverepresentationlearningontemporalgraphsisanimportantsteptoward salablemachinelearningonreal

Sequentialmodellingwithself-attentionhasachievedcuttingedgeperformancesinnaturallanguageprocessing.

这篇论文提出了一种使用多任务学习生成通用、稳健的文本表示的方法，非常值得学习，欢迎下载！

07-noderepr Graph Representation Learning.pdf

Cross-Project Transfer Representation Learning for Vulnerable Function Discovery

This paper presents a Tibetan component representation learning method for component-based online ha

2017CVPR人脸识别文章Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

This dataset was prepared by Pierre-Luc Carrier and Aaron Courville,and the data consists of 48x48 p