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Who cites «Theano: new features and speed improvements»

149 papers of our library cite it (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← back to «Theano: new features and speed improvements»

  1. Neural Machine Translation by Jointly Learning to Align and TranslatearXiv:1409.0473Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio2014 · 19,287 citations
  2. Explaining and Harnessing Adversarial ExamplesarXiv:1412.6572Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy2014 · 8,577 citations
  3. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  4. Generative Adversarial NetsIan J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, et al.2014 · 5,790 citations
  5. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1arXiv:1602.02830Matthieu Courbariaux, Itay Hubara, Daniel Soudry, et al.2016 · 2,143 citations
  6. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsarXiv:1512.01274Tianqi Chen, Mu Li, Yutian Li, et al.2015 · 2,000 citations
  7. BinaryConnect: Training Deep Neural Networks with binary weights during propagationsarXiv:1511.00363Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David2015 · 1,885 citations
  8. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
  9. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and ActivationsarXiv:1609.07061Itay Hubara, Matthieu Courbariaux, Daniel Soudry, et al.2016 · 1,610 citations
  10. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
  11. Convolutional Networks on Graphs for Learning Molecular FingerprintsarXiv:1509.09292David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, et al.2015 · 993 citations
  12. How to Construct Deep Recurrent Neural NetworksarXiv:1312.6026Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, et al.2013 · 302 citations
  13. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  14. A Neural Knowledge Language ModelarXiv:1608.00318Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, et al.2016 · 146 citations
  15. Detecting Interrogative Utterances with Recurrent Neural NetworksarXiv:1511.01042Junyoung Chung, Jacob Devlin, Hany Hassan Awadalla2015

123 more papers of our library cite it; they have no page here yet.

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