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https://github.com/murufeng/awesome-papers

机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集
https://github.com/murufeng/awesome-papers

classification-algorithm computer-vision deep-learning image-processing machine-learning natural-language-processing object-detection

Last synced: 15 days ago
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机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集

Host: GitHub
URL: https://github.com/murufeng/awesome-papers
Owner: murufeng
Created: 2019-06-30T06:04:09.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2020-07-08T02:43:06.000Z (over 4 years ago)
Last Synced: 2024-12-02T17:03:16.925Z (19 days ago)
Topics: classification-algorithm, computer-vision, deep-learning, image-processing, machine-learning, natural-language-processing, object-detection
Homepage: https://github.com/murufeng/awesome-papers
Size: 62.4 MB
Stars: 128
Watchers: 4
Forks: 35
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

ultimate-awesome - awesome-papers - 机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集. (Other Lists / Monkey C Lists)

README

        # 机器学习、深度学习、自然语言处理、计算机视觉论文集

[![GitHub stars](https://img.shields.io/github/stars/murufeng/awesome-papers.svg?style=social&label=Stars)](https://github.com/murufeng/awesome-papers) [![GitHub forks](https://img.shields.io/github/forks/murufeng/awesome-papers.svg?style=social&label=Forks)](https://github.com/murufeng/awesome-papers) [![HitCount](http://hits.dwyl.io/murufeng/awesome-papers.svg)](http://hits.dwyl.io/murufeng/awesome-papers)

## 目录

### Object detection

目标检测最全论文集锦

* [Object detection](https://github.com/murufeng/papers/tree/master/Object-detection) 


### deep_learning object detection

* [A paper list of object detection using deep learning](https://github.com/murufeng/papers/blob/master/deep_learning%20object%20detection/papers.md) 


### Embedding 

* [[Airbnb Embedding] Real-time Personalization using Embeddings for Search Ranking at Airbnb (Airbnb 2018)](https://github.com/murufeng/papers/blob/master/Embedding/%5BAirbnb%20Embedding%5D%20Real-time%20Personalization%20using%20Embeddings%20for%20Search%20Ranking%20at%20Airbnb%20(Airbnb%202018).pdf) 


* [[Alibaba Embedding] Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba (Alibaba 2018)](https://github.com/murufeng/papers/blob/master/Embedding/%5BAlibaba%20Embedding%5D%20Billion-scale%20Commodity%20Embedding%20for%20E-commerce%20Recommendation%20in%20Alibaba%20(Alibaba%202018).pdf) 


* [[Graph Embedding] DeepWalk- Online Learning of Social Representations (SBU 2014)](https://github.com/murufeng/papers/blob/master/Embedding/%5BGraph%20Embedding%5D%20DeepWalk-%20Online%20Learning%20of%20Social%20Representations%20(SBU%202014).pdf) 


* [[Item2Vec] Item2Vec-Neural Item Embedding for Collaborative Filtering (Microsoft 2016)](https://github.com/murufeng/papers/blob/master/Embedding/%5BItem2Vec%5D%20Item2Vec-Neural%20Item%20Embedding%20for%20Collaborative%20Filtering%20(Microsoft%202016).pdf) 


* [[Negative Sampling] Word2vec Explained Negative-Sampling Word-Embedding Method (2014)](https://github.com/murufeng/papers/blob/master/Embedding/%5BNegative%20Sampling%5D%20Word2vec%20Explained%20Negative-Sampling%20Word-Embedding%20Method%20(2014).pdf) 


* [[Node2vec] Node2vec - Scalable Feature Learning for Networks (Stanford 2016)](https://github.com/murufeng/papers/blob/master/Embedding/%5BNode2vec%5D%20Node2vec%20-%20Scalable%20Feature%20Learning%20for%20Networks%20(Stanford%202016).pdf) 


* [[SDNE] Structural Deep Network Embedding (THU 2016)](https://github.com/murufeng/papers/blob/master/Embedding/%5BSDNE%5D%20Structural%20Deep%20Network%20Embedding%20(THU%202016).pdf) 


* [[Word2Vec] Distributed Representations of Words and Phrases and their Compositionality (Google 2013)](https://github.com/murufeng/papers/blob/master/Embedding/%5BWord2Vec%5D%20Distributed%20Representations%20of%20Words%20and%20Phrases%20and%20their%20Compositionality%20(Google%202013).pdf) 


* [[Word2Vec] Word2vec Parameter Learning Explained (UMich 2016)](https://github.com/murufeng/papers/blob/master/Embedding/%5BWord2Vec%5D%20Word2vec%20Parameter%20Learning%20Explained%20(UMich%202016).pdf) 


* [[Word2Vec] Efficient Estimation of Word Representations in Vector Space (Google 2013)](https://github.com/murufeng/papers/blob/master/Embedding/%5BWord2Vec%5D%20Efficient%20Estimation%20of%20Word%20Representations%20in%20Vector%20Space%20(Google%202013).pdf) 


### Famous Machine Learning Papers

* [[RNN] Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation (UofM 2014)](https://github.com/murufeng/papers/blob/master/Famous%20Machine%20Learning%20Papers/%5BRNN%5D%20Learning%20Phrase%20Representations%20using%20RNN%20Encoder%E2%80%93Decoder%20for%20Statistical%20Machine%20Translation%20(UofM%202014).pdf) 


* [[CNN] ImageNet Classification with Deep Convolutional Neural Networks (UofT 2012)](https://github.com/murufeng/papers/blob/master/Famous%20Machine%20Learning%20Papers/%5BCNN%5D%20ImageNet%20Classification%20with%20Deep%20Convolutional%20Neural%20Networks%20(UofT%202012).pdf) 


* [[Fast R-CNN]](https://github.com/murufeng/papers/blob/master/Famous%20Machine%20Learning%20Papers/Fast%20R-CNN.pdf) 


### Google Three Papers

Google三大篇，HDFS，MapReduce，BigTable，奠定大数据基础架构的三篇文章

* [Bigtable A Distributed Storage System for Structured Data](https://github.com/murufeng/papers/blob/master/Google%20Three%20Papers/Bigtable%20A%20Distributed%20Storage%20System%20for%20Structured%20Data.pdf) 


* [MapReduce Simplified Data Processing on Large Clusters](https://github.com/murufeng/papers/blob/master/Google%20Three%20Papers/MapReduce%20Simplified%20Data%20Processing%20on%20Large%20Clusters.pdf) 


* [The Google File System](https://github.com/murufeng/papers/blob/master/Google%20Three%20Papers/The%20Google%20File%20System.pdf) 


### Image_Processing

* [CVPR19-FOCNet_ A Fractional Optimal Control Network for Image Denoising](https://github.com/murufeng/papers/blob/master/Image_Processing/CVPR19-FOCNet_%20A%20Fractional%20Optimal%20Control%20Network%20for%20Image%20Denoising_Lei%20Zhang.pdf) 


* [Multi-Label Image Recognition with Graph Convolutional Networks](https://github.com/murufeng/papers/blob/master/Image_Processing/Multi-Label%20Image%20Recognition%20with%20Graph%20Convolutional%20Networks.pdf) 


* [T-CNN](https://github.com/murufeng/papers/blob/master/Image_Processing/T-CNN.pdf) 


### NLP-progress

* [BERT_Pre-training of Deep Bidirectional Transformers for Language Understanding](https://github.com/murufeng/papers/blob/master/NLP-progress/BERT_Pre-training%20of%20Deep%20Bidirectional%20Transformers%20for%20Language%20Understanding.pdf) 


* [Chinese Word Segmentation](https://github.com/murufeng/papers/blob/master/NLP-progress/Chinese%20Word%20Segmentation.md) 


* [Dependency parsing](https://github.com/murufeng/papers/blob/master/NLP-progress/Dependency%20parsing.md) 


* [Named entity recognition](https://github.com/murufeng/papers/blob/master/NLP-progress/Named%20entity%20recognition.md) 


* [Text Classification](https://github.com/murufeng/papers/blob/master/NLP-progress/Text%20classification.md) 


* [Word Sense Disambiguation](https://github.com/murufeng/papers/blob/master/NLP-progress/Word%20Sense%20Disambiguation.md) 


* [XLNet_Generalized Autoregressive Pretraining for Language Understanding](https://github.com/murufeng/papers/blob/master/NLP-progress/XLNet_Generalized%20Autoregressive%20Pretraining%20for%20Language%20Understanding.pdf) 


### awesome-deep-learning-papers

深度学习（Deep Learning）的最全资料项目

* [Most Cited Deep Learning Papers](https://github.com/murufeng/papers/blob/master/deep-learning-papers/Most%20Cited%20Deep%20Learning%20Papers.md) 


### Image-to-Image papers

* [Image to Image papers: A collection of image-to-image papers](https://github.com/murufeng/papers/blob/master/Image-to-Image%20papers.md)

### Attention-Mechanisms-paper

* [注意力机制在自然语言处理方面的文章笔记](https://github.com/murufeng/papers/blob/master/Attention-Mechanisms-paper.md) 


### GNN papers

* [[Must-read papers on GNN] GNN: graph neural network](https://github.com/murufeng/papers/blob/master/GNN_papers.md) 


* [Hands on Graph Neural Networks with PyTorch & PyTorch Geometric](https://github.com/murufeng/papers/blob/master/Hands%20on%20Graph%20Neural%20Networks%20with%20PyTorch%20%26%20PyTorch%20Geometric.pdf) 


### Transfer Learning

迁移学习相关文章,主要介绍迁移学习在自然语言处理中的运用

* [Transfer Learning in Natural Language Processing](https://github.com/murufeng/papers/blob/master/Transfer%20Learning%20in%20Natural%20Language%20Processing.pdf) 


* [Transfer Learning with Convolutional Neural Networks in PyTorch](https://github.com/murufeng/papers/blob/master/Transfer%20Learning%20with%20Convolutional%20Neural%20Networks%20in%20PyTorch.pdf) 


### Must-read Papers on Textual Adversarial Attack and Defense (TAAD)

* [Must-read Papers on Textual Adversarial Attack and Defense (TAAD)](https://github.com/murufeng/papers/blob/master/TAADpapers.md) 


### Papers-of-Robust-ML

* [Related papers for robust machine learning](https://github.com/murufeng/papers/blob/master/Papers-of-Robust-ML.md)

## 分享计算机视觉方向顶级期刊录用论文

**CVPR**

- 2020 

  - [CVPR2020录用论文清单](http://cvpr2020.thecvf.com/)

  - [CVPR2020论文列表和代码汇总](https://github.com/murufeng/awesome-papers/tree/master/CVPR%202020)

- 2019

  - [CVPR 2019所有录用论文清单]() 

  - CVPR 2019论文PDF下载（1294篇论文）：[百度云链接](https://pan.baidu.com/s/1WMOU3JgeKsYA0YCeW09uHw ) 密码: b7uj

- 2018

  - [CVPR 2018所有录用论文清单](2018/cvpr2018-paper-list.csv) 

  - CVPR 2018论文PDF下载（979篇论文）：[百度云链接](https://pan.baidu.com/s/1lYEM_kkw1PWTkQzUvjG2pw)   密码: 6pgk 

- 2017

  - CVPR 2017论文PDF下载：[百度云链接](https://pan.baidu.com/s/1RP1wQBFxs8BT0KBLiukxBw)   密码: hnzg

**ECCV**

- 2020 

  - [ECCV2020接受论文列表](https://eccv2020.eu/accepted-papers/)

- 2018

  - [ECCV 2018所有录用论文清单](http://openaccess.thecvf.com/ECCV2018.py) 

  - ECCV 2018论文PDF下载：[百度云链接](https://pan.baidu.com/s/1Mg0Kw9bepUK6_vqqVSOjNQ)   密码: mh97

  

**ICCV 2019**

- 2019

  - ICCV 2019论文下载：[百度云链接](https://pan.baidu.com/s/1yeA8qNkkb92Z0vA-8h2FTg)  密码：nynu