2019论文阅读清单

2019论文阅读清单


更多内容详见

对抗神经网络(GANs)

  1. 《Generative Adverarial Networks:An Overview》 —1月
  2. Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio.2014. Generative Adversarial Networks.

深度森林

  1. Z.-H. Zhou and J. Feng. Deep forest: Towards an alternative to deep neural networks. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI’17), Melbourne, Australia, 2017.
  2. J. Feng and Z.-H. Zhou. AutoEncoder by forest. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’18) , New Orleans, LA, 2018.
  3. J. Feng, Y. Yu, Z.-H. Zhou. Multi-layered gradient boosting decision trees. In: Advances in Neural Information Processing Systems 31 (NIPS’18), Montreal, Canada, 2018.

声学模型

  1. https://blog.csdn.net/qq_37572875/article/details/77899491
  2. http://www.eeboard.com/news/yuyinshibie/
  3. http://www.doc88.com/p-2137495691629.html
  4. https://www.jianshu.com/p/16fc3712fdf6
  5. https://blog.csdn.net/abcjennifer/article/details/27346787
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