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
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