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