机器学习各领域必读经典综述

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来自 | Github  整理 | 深度学习这件小事

机器学习是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。

机器学习及其相关领域，如深度学习、自然语言处理、计算机视觉、推荐系统、强化学习等领域最近几年非常火，每年各式各样的国际顶会，投稿数每年都会海量增加。要持续Follow这些领域最新的技术，刷遍各大会议最新会议非常费时费力，特别是对于刚入门的同学。因此，为了方便同学们了解机器学习、AI各领域的最新的技术全貌，本资源整理了各领域必读的经典综述论文，分享给大家。

资源链接：https://github.com/eugeneyan/ml-surveys

   目录

• Recommendation

• Deep Learning

• Natural Language Processing

• Computer Vision

• Reinforcement Learning

• Embeddings

• Meta-learning and Few-shot Learning

• Others

   推荐系统

• Algorithms: Recommender systems survey

• Algorithms: Deep Learning based Recommender System: A Survey and New Perspectives

• Algorithms: Are We Really Making Progress? A Worrying Analysis of Neural Recommendation Approaches

• Serendipity: A Survey of Serendipity in Recommender Systems

• Diversity: Diversity in Recommender Systems – A survey

• Explanations: A Survey of Explanations in Recommender Systems

   深度学习

• Architecture: A State-of-the-Art Survey on Deep Learning Theory and Architectures

• Knowledge distillation: Knowledge Distillation: A Survey

• Model compression: Compression of Deep Learning Models for Text: A Survey

• Transfer learning: A Survey on Deep Transfer Learning

• Neural architecture search: A Comprehensive Survey of Neural Architecture Search-- Challenges and Solutions

• Neural architecture search: Neural Architecture Search: A Survey

• Graph: A Comprehensive Survey on Graph Neural Networks

   自然语言处理

• Deep Learning: Recent Trends in Deep Learning Based Natural Language Processing

• Classification: Deep Learning Based Text Classification: A Comprehensive Review

• Generation: Survey of the SOTA in Natural Language Generation: Core tasks, applications and evaluation

• Generation: Neural Language Generation: Formulation, Methods, and Evaluation

• Transfer learning: Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer

• Transformers: Efficient Transformers: A Survey

• Metrics: Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

• Metrics: Evaluation of Text Generation: A Survey

   计算机视觉

• Object detection: Object Detection in 20 Years

• Adversarial attacks: Threat of Adversarial Attacks on Deep Learning in Computer Vision

• Autonomous vehicles: Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

• Image Captioning: A Comprehensive Survey of Deep Learning for Image Captioning

   深度强化学习

• Algorithms: A Brief Survey of Deep Reinforcement Learning

• Transfer learning: Transfer Learning for Reinforcement Learning Domains

• Economics: Review of Deep Reinforcement Learning Methods and Applications in Economics

   向量化技术

• Graph: A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications

• Text: From Word to Sense Embeddings:A Survey on Vector Representations of Meaning

• Text: Diachronic Word Embeddings and Semantic Shifts

• Text: Word Embeddings: A Survey

• Text: A Reproducible Survey on Word Embeddings and Ontology-based Methods for Word Similarity

   迁移学习

• Transfer learning: A Survey on Transfer Learning

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