机器学习领域最全综述列表！

另外发现源repo中NLP相关的综述不是很多，于是把一些觉得还不错的文章添加进去了，重新整理更新在 AI-Surveys[1] 中。

• ml-surveys: https://github.com/eugeneyan/ml-surveys
• AI-Surveys: https://github.com/KaiyuanGao/AI-Surveys
  
  

自然语言处理

• 深度学习：Recent Trends in Deep Learning Based Natural Language Processing[2]
• 文本分类：Deep Learning Based Text Classification: A Comprehensive Review[3]
• 文本生成：Survey of the SOTA in Natural Language Generation: Core tasks, applications and evaluation[4]
• 文本生成：Neural Language Generation: Formulation, Methods, and Evaluation[5]
• 迁移学习：Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer[6] (Paper[7])
• 迁移学习：Neural Transfer Learning for Natural Language Processing[8]
• 知识图谱：A Survey on Knowledge Graphs: Representation, Acquisition and Applications[9]
• 命名实体识别：A Survey on Deep Learning for Named Entity Recognition[10]
• 关系抽取：More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction[11]
• 情感分析：Deep Learning for Sentiment Analysis : A Survey[12]
• ABSA情感分析：Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges[13]
• 文本匹配：Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering[14]
• 阅读理解：Neural Reading Comprehension And Beyond[15]
• 阅读理解：Neural Machine Reading Comprehension: Methods and Trends[16]
• 机器翻译：Neural Machine Translation: A Review[17]
• 机器翻译：A Survey of Domain Adaptation for Neural Machine Translation[18]
• 预训练模型：Pre-trained Models for Natural Language Processing: A Survey[19]
• 注意力机制：An Attentive Survey of Attention Models[20]
• 注意力机制：An Introductory Survey on Attention Mechanisms in NLP Problems[21]
• 注意力机制：Attention in Natural Language Processing[22]
• BERT：A Primer in BERTology: What we know about how BERT works[23]
• Beyond Accuracy: Behavioral Testing of NLP Models with CheckList[24]
• Evaluation of Text Generation: A Survey[25]

推荐系统

• Recommender systems survey[26]
• Deep Learning based Recommender System: A Survey and New Perspectives[27]
• Are We Really Making Progress? A Worrying Analysis of Neural Recommendation Approaches[28]
• A Survey of Serendipity in Recommender Systems[29]
• Diversity in Recommender Systems – A survey[30]
• A Survey of Explanations in Recommender Systems[31]
  
  

深度学习

• A State-of-the-Art Survey on Deep Learning Theory and Architectures[32]
• 知识蒸馏：Knowledge Distillation: A Survey[33]
• 模型压缩：Compression of Deep Learning Models for Text: A Survey[34]
• 迁移学习：A Survey on Deep Transfer Learning[35]
• 神经架构搜索：A Comprehensive Survey of Neural Architecture Search-- Challenges and Solutions[36]
• 神经架构搜索：Neural Architecture Search: A Survey[37]

计算机视觉

• 目标检测：Object Detection in 20 Years[38]
• 对抗性攻击：Threat of Adversarial Attacks on Deep Learning in Computer Vision[39]
• 自动驾驶：Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art[40]

强化学习

• A Brief Survey of Deep Reinforcement Learning[41]
• Transfer Learning for Reinforcement Learning Domains[42]
• Review of Deep Reinforcement Learning Methods and Applications in Economics[43]

Embeddings

• 图：A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications[44]
• 文本：From Word to Sense Embeddings:A Survey on Vector Representations of Meaning[45]
• 文本：Diachronic Word Embeddings and Semantic Shifts[46]
• 文本：Word Embeddings: A Survey[47]
• A Survey on Contextual Embeddings[48]

Meta-learning & Few-shot Learning

• A Survey on Knowledge Graphs: Representation, Acquisition and Applications[49]
• Meta-learning for Few-shot Natural Language Processing: A Survey[50]
• Learning from Few Samples: A Survey[51]
• Meta-Learning in Neural Networks: A Survey[52]
• A Comprehensive Overview and Survey of Recent Advances in Meta-Learning[53]
• Baby steps towards few-shot learning with multiple semantics[54]
• Meta-Learning: A Survey[55]
• A Perspective View And Survey Of Meta-learning[56]

迁移学习

• A Survey on Transfer Learning[57]

参考资料