Awesome - Most Cited Deep Learning Papers Implementation

A curated list of the most cited deep learning papers implementation (2012-2018)

Background

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Contents

• Understanding / Generalization / Transfer
• Optimization / Training Techniques
• Unsupervised / Generative Models
• Convolutional Network Models
• Image Segmentation / Object Detection
• Image / Video / Etc
• Reinforcement Learning / Robotics
• More Papers from 2016

Understanding / Generalization / Transfer

Optimization / Training Techniques

Unsupervised / Generative Models

Convolutional Neural Network Models

• EffNet: An Efficient Structure for Convolutional Neural Networks, Freeman et al. arxiv
• Squeeze-and-Excitation Networks, Hu et al. arxiv
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications, Howard et al. arxiv
• ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices, Zhang et al. arxiv
• Residual Attention Network for Image Classification, Wang et al. arxiv
• Densely Connected Convolutional Networks, Huang et al. arxiv
• Xception: Deep Learning with Depthwise Separable Convolutions, Chollet. arxiv
• DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations, Liu et al. pdf
• Practical Riemannian Neural Networks, Marceau-Caron and Ollivier. arxiv
• Rethinking the Inception Architecture for Computer Vision, Szegedy et al. arxiv
• Deep Residual Learning for Image Recognition, He et al. arxiv
• Very Deep Convolutional Networks for Large-Scale Image Recognition, Simonyan et al. arxiv
• Going Deeper with Convolutions, Szegedy et al. arxiv ⭐
• ImageNet Classification with Deep Convolutional Neural Networks(AlexNet), Krizhevsky et al. arxiv ⭐

Image: Segmentation / Object Detection

Image / Video / Etc

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Acknowledgement