gq-max/AI-Surveys

整理AI相关领域的一些综述

AI-Surveys

本repo主要整理AI相关领域的一些综述，起因是看到了 ml-survey 这个非常棒的项目。

目前添加了『自然语言处理』模块的部分觉得不错的综述。

欢迎有兴趣的小伙伴们一起整理。

Table of Contents

• 自然语言处理 (NLP)
• 推荐系统 (Recommender System)
• 深度学习 (Deep Learning)
• 计算机视觉 (Computer Vision)
• 图网络 (Graph Network)
• 强化学习 (Reinforcement Learning)
• 向量化 (Embeddings)
• 多任务学习 (Multi-Task Learning)
• Meta-learning & Few-shot Learning
• 搜索推荐
• Others

自然语言处理(NLP)

文本分类(Text Classification)

• Deep Learning Based Text Classification: A Comprehensive Review
• A Survey on Data Augmentation for Text Classification

情感分析(Sentiment Analysis)

• Deep Learning for Sentiment Analysis : A Survey
• Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges

命名实体识别(Named Entity Recognition)

• A Survey on Deep Learning for Named Entity Recognition

关系抽取(Relation Extraction)

• More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
• A Survey of Deep Learning Methods for Relation Extraction

文本匹配(Text Matching)

• Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
• 深度文本匹配综述
• Pretrained Transformers for Text Ranking: BERT and Beyond

阅读理解(Reading Comprehension)

• Neural Reading Comprehension And Beyond
• Neural Machine Reading Comprehension: Methods and Trends
• Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
• Machine Reading Comprehension: a Literature Review

机器翻译(Machine Translation)

• Neural Machine Translation: A Review
• A Survey of Domain Adaptation for Neural Machine Translation
• Neural Machine Translation: Challenges, Progress and Future
• A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation
• A Comprehensive Survey of Multilingual Neural Machine Translation
• A Survey of Deep Learning Techniques for Neural Machine Translation
• A Survey on Document-level Machine Translation: Methods and Evaluation

文本生成(Text Generation)

• A Survey of Knowledge-Enhanced Text Generation
• Neural Language Generation: Formulation, Methods, and Evaluation
• Survey of the SOTA in Natural Language Generation: Core tasks, applications and evaluation
• Evaluation of Text Generation: A Survey
• Recent Advances in Neural Question Generation
• Neural Text Generation: Past, Present and Beyond
• Pretrained Language Models for Text Generation: A Survey

摘要抽取(Abstractive Summarization)

• Abstractive Summarization: A Survey of the State of the Art

对话系统(Dialog System)

• Recent Advances and Challenges in Task-oriented Dialog System
• Neural Approaches to Conversational AI
• Challenges in Building Intelligent Open-domain Dialog Systems
• How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
• A Survey on Dialogue Summarization: Recent Advances and New Frontiers

知识图谱(Knowledge Graph)

• A Survey on Knowledge Graphs: Representation, Acquisition and Applications
• Core techniques of question answering systems over knowledge bases: a survey
• Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs

深度学习(Deep Learning)

• Recent Trends in Deep Learning Based Natural Language Processing
• A Survey of the Usages of Deep Learning in Natural Language Processing

迁移学习(Transfer Learning)

• Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer (Paper)
• Neural Transfer Learning for Natural Language Processing

预训练模型(Pre-trained Models)

• Pre-trained Models for Natural Language Processing: A Survey
• A Primer in BERTology: What we know about how BERT works

注意力机制(Attention Mechanism)

• An Attentive Survey of Attention Models
• An Introductory Survey on Attention Mechanisms in NLP Problems
• Attention in Natural Language Processing

其他(Others)

• A Survey of Data Augmentation Approaches for NLP
• Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
• Analysis Methods in Neural Language Processing: A Survey
• A Primer on Neural Network Models for Natural Language Processing

推荐系统(Recommender System)

• Recommender systems survey
• Deep Learning based Recommender System: A Survey and New Perspectives
• Are We Really Making Progress? A Worrying Analysis of Neural Recommendation Approaches
• A Survey of Serendipity in Recommender Systems
• Diversity in Recommender Systems – A survey
• A Survey of Explanations in Recommender Systems

深度学习(Deep Learning)

• A State-of-the-Art Survey on Deep Learning Theory and Architectures
• 知识蒸馏：Knowledge Distillation: A Survey
• 模型压缩： Compression of Deep Learning Models for Text: A Survey
• 迁移学习： A Survey on Deep Transfer Learning
• 神经架构搜索： A Comprehensive Survey of Neural Architecture Search-- Challenges and Solutions
• 神经架构搜索： Neural Architecture Search: A Survey

计算机视觉(Computer Vision)

• 目标检测： Object Detection in 20 Years
• 对抗性攻击：Threat of Adversarial Attacks on Deep Learning in Computer Vision
• 自动驾驶：Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

图网络(Graph Network)

• Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
• Introduction to Graph Neural Networks
• A Practical Guide to Graph Neural Networks
• Graph Neural Networks: A Review of Methods and Applications
• A Comprehensive Survey on Graph Neural Networks
• Deep Learning on Graphs: A Survey
• Adversarial Attack and Defense on Graph Data: A Survey
• The Graph Neural Network Model
• Benchmarking Graph Neural Networks

强化学习(Reinforcement Learning)

• A Brief Survey of Deep Reinforcement Learning
• Transfer Learning for Reinforcement Learning Domains
• Review of Deep Reinforcement Learning Methods and Applications in Economics

向量化(Embeddings)

• 图： A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
• 文本： From Word to Sense Embeddings:A Survey on Vector Representations of Meaning
• 文本： Diachronic Word Embeddings and Semantic Shifts
• 文本： Word Embeddings: A Survey
• A Survey on Contextual Embeddings

多任务学习(Multi-Task Learning)

• Multi-Task Learning for Dense Prediction Tasks: A Survey
• An overview of multi-task learning
• A Survey on Multi-Task Learning

Meta-learning & Few-shot Learning

• A Survey on Knowledge Graphs: Representation, Acquisition and Applications
• Meta-learning for Few-shot Natural Language Processing: A Survey
• Learning from Few Samples: A Survey
• Meta-Learning in Neural Networks: A Survey
• A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
• Baby steps towards few-shot learning with multiple semantics
• Meta-Learning: A Survey
• A Perspective View And Survey Of Meta-learning

搜索推荐

• Deep Learning based Recommender System: A Survey and New Perspectives
• A Survey on Knowledge Graph-Based Recommender Systems
• Graph Learning Approaches to Recommender Systems: A Review
• Adversarial Machine Learning in Recommender Systems: State of the art and Challenges
• Graph Neural Networks in Recommender Systems: A Survey

其他（Others）

• A Survey on Transfer Learning