Dynamic control flow in large-scale machine learning

Author:

Yu Yuan1,Abadi Martín2,Barham Paul2,Brevdo Eugene2,Burrows Mike2,Davis Andy2,Dean Jeff2,Ghemawat Sanjay3,Harley Tim4,Hawkins Peter2,Isard Michael2,Kudlur Manjunath5,Monga Rajat2,Murray Derek2,Zheng Xiaoqiang2

Affiliation:

1. Microsoft

2. Google Brain

3. Google

4. DeepMind

5. Cerebras Systems

Publisher

ACM

Reference46 articles.

1. Al-Rfou R. Alain G. Almahairi A. Angermueller C. Bahdanau D. Ballas N. Bastien F. Bayer J. Belikov A. Belopolsky A. Bengio Y. Bergeron A. Bergstra J. Bisson V. Bleecher Snyder J. Bouchard N. Boulanger-Lewandowski N. Bouthillier X. de Brébisson A. Breuleux O. Carrier P.-L. Cho K. Chorowski J. Christiano P. Cooijmans T. Côté M.-A. Côté M. Courville A. Dauphin Y. N. Delalleau O. Demouth J. Desjardins G. Dieleman S. Dinh L. Ducoffe M. Dumoulin V. Ebrahimi Kahou S. Erhan D. Fan Z. Firat O. Germain M. Glorot X. Goodfellow I. Graham M. Gulcehre C. Hamel P. Harlouchet I. Heng J.-P. Hidasi B. Honari S. Jain A. Jean S. Jia K. Korobov M. Kulkarni V. Lamb A. Lamblin P. Larsen E. Laurent C. Lee S. Lefrancois S. Lemieux S. Léonard N. Lin Z. Livezey J. A. Lorenz C. Lowin J. Ma Q. Manzagol P.-A. Mastropietro O. McGibbon R. T. Memisevic R. van Merriënboer B. Michalski V. Mirza M. Orlandi A. Pal C. Pascanu R. Pezeshki M. Raffel C. Renshaw D. Rocklin M. Romero A. Roth M. Sadowski P. Salvatier J. Savard F. Schlüter J. Schulman J. Schwartz G. Serban I. V. Serdyuk D. Shabanian S. Simon E. Spieckermann S. Subramanyam S.R. Sygnowski J. Tanguay J. van Tulder G. Turian J. Urban S. Vincent P. Visin F. de Vries H. Warde-Farley D. Webb D. J. Willson M. Xu K. Xue L. Yao L. Zhang S. and Zhang Y. Theano: A Python framework for fast computation of mathematical expressions. arXiv preprint 1605.02688 (2016). arxiv.org/abs/1605.02688. Al-Rfou R. Alain G. Almahairi A. Angermueller C. Bahdanau D. Ballas N. Bastien F. Bayer J. Belikov A. Belopolsky A. Bengio Y. Bergeron A. Bergstra J. Bisson V. Bleecher Snyder J. Bouchard N. Boulanger-Lewandowski N. Bouthillier X. de Brébisson A. Breuleux O. Carrier P.-L. Cho K. Chorowski J. Christiano P. Cooijmans T. Côté M.-A. Côté M. Courville A. Dauphin Y. N. Delalleau O. Demouth J. Desjardins G. Dieleman S. Dinh L. Ducoffe M. Dumoulin V. Ebrahimi Kahou S. Erhan D. Fan Z. Firat O. Germain M. Glorot X. Goodfellow I. Graham M. Gulcehre C. Hamel P. Harlouchet I. Heng J.-P. Hidasi B. Honari S. Jain A. Jean S. Jia K. Korobov M. Kulkarni V. Lamb A. Lamblin P. Larsen E. Laurent C. Lee S. Lefrancois S. Lemieux S. Léonard N. Lin Z. Livezey J. A. Lorenz C. Lowin J. Ma Q. Manzagol P.-A. Mastropietro O. McGibbon R. T. Memisevic R. van Merriënboer B. Michalski V. Mirza M. Orlandi A. Pal C. Pascanu R. Pezeshki M. Raffel C. Renshaw D. Rocklin M. Romero A. Roth M. Sadowski P. Salvatier J. Savard F. Schlüter J. Schulman J. Schwartz G. Serban I. V. Serdyuk D. Shabanian S. Simon E. Spieckermann S. Subramanyam S.R. Sygnowski J. Tanguay J. van Tulder G. Turian J. Urban S. Vincent P. Visin F. de Vries H. Warde-Farley D. Webb D. J. Willson M. Xu K. Xue L. Yao L. Zhang S. and Zhang Y. Theano: A Python framework for fast computation of mathematical expressions. arXiv preprint 1605.02688 (2016). arxiv.org/abs/1605.02688.

2. Andor D. Alberti C. Weiss D. Severyn A. Presta A. Ganchev K. Petrov S. and Collins M. Globally normalized transition-based neural networks. CoRR abs/1603.06042 (2016). Andor D. Alberti C. Weiss D. Severyn A. Presta A. Ganchev K. Petrov S. and Collins M. Globally normalized transition-based neural networks. CoRR abs/1603.06042 (2016).

3. Dataflow architectures. In Annual Review of Computer Science Vol. 1;Arvind;Annual Reviews Inc.,1986

4. Executing a program on the MIT tagged-token dataflow architecture

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