一.深度学习架构

1.A Survey of the Recent Architectures of Deep Convolutional Neural Network

二.深度强化学习

1. Applications of Deep Reinforcement Learning in Communications and Networking:A Survey

2. An Introduction to Deep Reinforcement Learning

三.目标检测综述

1.Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks

2. Deep Learning for Generic Object Detection: A survey

四.图神经网络综述

1. Deep Learning on Graphs: A Survey

2.A Comprehensive Survey on Graph Neural Networks

五.机器学习优化模型

1. Optimization Models for Machine Learning: A Survey

六.NLP

1.Analysis Methods in Neural Language Processing: A Survey

2.An Introductory Survey on Attention Mechanisms in NLP Problems

3. A Survey on Deep Transfer Learning

七.GAN

1. How Generative Adversarial Networks and Its Variants Work: An Overview of GAN

八.元学习

1.Meta-Learning: A Survey

九.自动驾驶

1. Self-Driving Cars: A Survey

十.超分辨率

1. Deep Learning for Image Super-resolution: A Survey