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机器学习各领域必读经典综述

来自 | Github  整理 | 深度学习这件小事

机器学习各领域必读经典综述

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

—完—
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机器学习各领域必读经典综述

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