美文网首页
深度学习论文

深度学习论文

作者: Jtag特工 | 来源:发表于2019-07-22 13:23 被阅读0次

深度学习论文

图像分类方向

AlexNet

ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, Geoffery E. Hinton
2012

VGGNet

Very Deep Convolutional networks for large-scale image recognition
Karen Simonyan, Andrew Zisserman, 2015

Inception v1

Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
(Google)

Resnet

Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
何恺明,张祥雨,任少卿,孙剑
(Microsoft Research)

Densenet

Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger, 2017

CVPR2017最佳论文

ResNeXt

Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Grishick, Piotr Dollar, Zhuowen Tu, Kaiming He
2017

DPNet

Dual Path Networks
Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng

Network in Network

Network in Network
Min Lin, Qiang Chen, Shuicheng Yan, 2014

对象识别方向

R-CNN

Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik
2014

SPPNet

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
何恺明,张祥雨,任少卿,孙剑

Fast R-CNN

Fast R-CNN
Ross Girshick
rbg

Faster R-CNN

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren任少卿, Kaiming He何恺明, Ross Girshick, Jian Sun孙剑

Mask R-CNN

Mask R-CNN
Kaiming He何恺明, Georgia Gkioxari, Piotr Dollar, Ross Girshick

YOLO

You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi

SSD

SSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Chang-Yang Fu, Alexander C. Berg
2016

FPN

Feature pyramid networks for object detection

模型压缩方向

ShuffleNet

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun
2017

ShuffleNet V2

ShuffleNet v2: Practical Guidelines for efficient CNN Architecture Design
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, Jian Sun
2018

自然语言处理

Neural machine translation by jointly learning to align and translate

Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, KyungHyun Cho, Yoshua Bengio
2015

BERT

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

图像生成标题

Show and Tell: A Neural Image Caption Generator

Show and Tell: A Neural Image Caption Generator
Google

A Hierarchical Approach for Generating Descriptive Image Paragraphs

A Hierarchical Approach for Generating Descriptive Image Paragraphs
Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
2017

强化学习

AlphaGo

Mastering the game of Go with deep neural networks and tree search
Google Deepmind

DQN的开创性论文

Human-level control through deep reinforcement learning

DQN

Continuous control with deep reinforcement learning
Timothy P. Lillicrap
2016

DPG

Deterministic Policy Gradient Algorithms
DeepMind

DDPG

Continuous control with deep reinforcement learning
Google DeepMind

A3C

Asynchronous Methods for Deep Reinforcement Learning
Google DeepMind
2016

AutoML

Auto-Sklearn

Efficient and Robust Automated Machine Learning
Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Tobias Springenberg, Manuel Blum, Frank Hutter

Auto Keras

Auto-Keras: Efficient Neural architecture search with network morphism
Haifeng Jin, Qingquan Song, Xia Hu
2018
autokeras.com

Learning Transferable Architectures for Scalable Image Recognition

Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V.Le
Google Brain
2018

Progressive Neural Architecture Search

Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy
2018

Efficient Neural Architecture Search vai Parameter Sharing

Hieu Pham, Melody Y.Guan, Barret Zoph, Jeff Dean
2018

程序设计语言相关

Code Completion with Neural Attention and Pointer Networks

Code Completion with Neural Attention and Pointer Networks
Jian Li, Yue Wang, Michael R. Lyu, Irwin King

Intelligent Code Completion with Bayesian Networks

Intelligent Code Completion with Bayesian Networks
2015

相关文章

  • IROS深度学习定位论文2_深度学习SLAM

    IROS深度学习定位论文2_深度学习SLAM 1 摘要   本文所介绍的论文提出了一种完全由深度学习实现的单目SL...

  • 深度学习论文

    深度学习论文 图像分类方向 AlexNet ImageNet Classification with Deep C...

  • 检测之旧文新读系列初衷:

    本人研究生课题是关于深度学习物体检测的,对于深度学习检测论文来说,个人觉得论文实验部分的重要性,并不亚于理解论文本...

  • 深度学习经典论文Top100 系列之优化-Dropout(1)

    深度学习经典论文Top100(Most Cited Deep Learning Papers) 阅读笔记. 论文集...

  • 深度学习论文总结

    本篇总结近期看过的深度学习论文: 1. 自然场景分类(LDA主题模型)论文及实现: 论文理解 A Bayesian...

  • 深度学习论文翻译

    Deep Learning Papers Translation Github地址:https://github....

  • 深度学习论文阅读

    本周和上周一样,写读一篇论文时的体验。 本次选的人工智能方向的一个论文,像这种专业性的论文对一个门外汉来说,信息量...

  • 【百科】消融实验

    消融实验(Ablation Study):在深度学习论文中,ablation study往往是在论文最终提出的模型...

  • 深度学习与推荐系统

    深度学习与推荐系统 标签(空格分隔): 毕业设计 推荐系统 深度学习 参考论文 文章一英文原版 --- Recom...

  • 条件神经过程

    神经网络碰上高斯过程,DeepMind论文开启深度学习新方向 论文: https://arxiv.org/pdf/...

网友评论

      本文标题:深度学习论文

      本文链接:https://www.haomeiwen.com/subject/atrllctx.html