People

• Ian Goodfellow
• Yann LeCun
• Yosha Bengio
• Pieter Abbeel
• Ruslan Salakhutdinov
• LSTM 的提出和改进者：Sepp Hochreiter，Jurgen Schmidhuber
• Hinton 的学生: Alex Graves
• MSR的 Li Deng
• Yuanqing Lin
• Feifei Li
• Andrew Ng

Blogs

Competitions

Kaggle 阿里天池

CNN

• [LeCun et al., 1998. Gradient-based learning applied to document recognition]
• Krizhevsky et al., 2012. ImageNet classification with deep convolutional neural networks
• Simonyan & Zisserman 2015. Very deep convolutional networks for large-scale image recognition]
• [He et al., 2015. Deep residual networks for image recognition]
• Szegedy et al., 2014, Going Deeper with Convolutions
• [Lin et al., 2013. Network in network]

Object Detection

• Sermanet et al., 2014, OverFeat: Integrated recognition, localization and detection using convolutional networks]
• [Redmon et al., 2015, You Only Look Once: Unified real-time object detection]
• Girshik et. al, 2013, Rich feature hierarchies for accurate object detection and semantic segmentation
• Girshik, 2015. Fast R-CNN
• [Girshik et. al, 2013. Rich feature hierarchies for accurate object detection and semantic segmentation]
• Ren et. al, 2016. Faster R-CNN: Towards real-time object detection with region proposal networks

Face Recognition

• [Taigman et. al., 2014. DeepFace closing the gap to human level performance
• Schroff et al.,2015, FaceNet: A unified embedding for face recognition and clustering
• Zeiler and Fergus., 2013, Visualizing and understanding convolutional networks
• Gatys et al., 2015. A neural algorithm of artistic style

Word Embedding

• [van der Maaten and Hinton., 2008. Visualizing data using t-SNE
• Mikolov et. al., 2013, Linguistic regularities in continuous space word representations
• [Bengio et. al., 2003, A neural probabilistic language model
• Mikolov et. al., 2013. Efficient estimation of word representations in vector space
• [Bolukbasi et. al., 2016. Man is to computer programmer as woman is to homemaker? Debiasing word embeddings

Language Model/ Sequence Mode

Papineni et. al., 2002. Bleu: A method for automatic evaluation of machine translation

Bahdanau et. al., 2014. Neural machine translation by jointly learning to align and translate

[Xu et. al., 2015. Show, attend and tell: Neural image caption generation with visual attention

Bayes Learning

Introduction to Bayesian Statistics

Statistical Rethinking

Doing Bayesian Data Analysis