原標(biāo)題：機(jī)器學(xué)習(xí)領(lǐng)域各領(lǐng)域必讀經(jīng)典綜述論文整理分享

機(jī)器學(xué)習(xí)是一門多領(lǐng)域交叉學(xué)科，涉及概率論、統(tǒng)計(jì)學(xué)、逼近論、凸分析、算法復(fù)雜度理論等多門學(xué)科。專門研究計(jì)算機(jī)怎樣模擬或?qū)崿F(xiàn)人類的學(xué)習(xí)行為，以獲取新的知識(shí)或技能，重新組織已有的知識(shí)結(jié)構(gòu)使之不斷改善自身的性能。

機(jī)器學(xué)習(xí)及其相關(guān)領(lǐng)域，如深度學(xué)習(xí)、自然語(yǔ)言處理、計(jì)算機(jī)視覺(jué)、推薦系統(tǒng)、強(qiáng)化學(xué)習(xí)等領(lǐng)域最近幾年非常火，每年各式各樣的國(guó)際頂會(huì)，投稿數(shù)每年都會(huì)海量增加。要持續(xù)Follow這些領(lǐng)域最新的技術(shù)，刷遍各大會(huì)議最新會(huì)議非常費(fèi)時(shí)費(fèi)力，特別是對(duì)于剛?cè)腴T的同學(xué)。因此，為了方便同學(xué)們了解機(jī)器學(xué)習(xí)、AI各領(lǐng)域的最新的技術(shù)全貌，本資源整理了各領(lǐng)域必讀的經(jīng)典綜述論文，分享給大家。

資源整理自網(wǎng)絡(luò)，源地址：https://github.com/eugeneyan/ml-surveys

目錄

推薦系統(tǒng)

?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

深度學(xué)習(xí)

?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

自然語(yǔ)言處理

?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 (Paper)

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

?Metrics: Evaluation of Text Generation: A Survey

計(jì)算機(jī)視覺(jué)

?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

深度強(qiáng)化學(xué)習(xí)

?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

向量化技術(shù)

?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

Meta-learning and Few-shot Learning

?NLP: Meta-learning for Few-shot Natural Language Processing: A Survey

?Domain Agnostic: Learning from Few Samples: A Survey

?NN: Meta-Learning in Neural Networks: A Survey

?Domain Agnostic: A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

?Domain Agnostic: Baby steps towards few-shot learning with multiple semantics

?Domain Agnostic: Meta-Learning: A Survey

?Domain Agnostic: A Perspective View And Survey Of Meta-learning

遷移學(xué)習(xí)

?Transfer learning: A Survey on Transfer Learning

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