分布式计算:
谷歌三件套:
《MapReduce: Simplified Data Processing on Large Clusters》
《Bigtable: A Distributed Storage System for Structured Data》
分布式协议Paxos、Raft:
《Time, Clocks, and the Ordering of Events in a Distributed System》
《In Search of an Understandable Consensus Algorithm》
流式计算框架:
《S4: Distributed Stream Computing Platform》
分布式机器学习框架:
《GraphLab: A New Framework for Parallel Machine Learning》
《Scaling Distributed Machine Learning with the Parameter Server》
分布式图计算框架:
《Pregel: a system for large-scale graph processing》
《Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs》
深度学习:
ImageNet、CNN:《Imagenet classification with deep convolutional neural networks》
DNN:《Deep residual learning for image recognition》
RNN:《Generating sequences with recurrent neural networks》
NLP:《Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing》
GAN:《Generative Adversarial Networks》
区块链(不是论文):
贴个图形学的:
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
http://ieeexplore.ieee.org/abstract/document/6205760/