41![Improving the Identifiability of Neural Networks for Bayesian Inference Arya A. Pourzanjani∗, Richard M. Jiang∗, Linda R. Petzold Department of Computer Science University of California, Santa Barbara Improving the Identifiability of Neural Networks for Bayesian Inference Arya A. Pourzanjani∗, Richard M. Jiang∗, Linda R. Petzold Department of Computer Science University of California, Santa Barbara](https://www.pdfsearch.io/img/962cfa85ac18c81621a78660a0395b57.jpg) | Add to Reading ListSource URL: bayesiandeeplearning.orgLanguage: English - Date: 2017-12-05 15:00:38
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42![Recurrent Neural Networks for Interval Duration Discrimination Task Recurrent Neural Networks for Interval Duration Discrimination Task](https://www.pdfsearch.io/img/c67ed3a5f0ebd4285c81c7fe2e723ae6.jpg) | Add to Reading ListSource URL: timestorm.euLanguage: English - Date: 2017-09-18 02:15:57
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43![Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks Hao Zhang† , Shizhen Xu† , Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing arXiv:1712.04048v1 [cs.LG] 11 Dec 2017 Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks Hao Zhang† , Shizhen Xu† , Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing arXiv:1712.04048v1 [cs.LG] 11 Dec 2017](https://www.pdfsearch.io/img/217bf7628093eaac7600f1c97ae416d9.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2017-12-12 20:21:27
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44![Code Completion with Neural Attention and Pointer Networks Jian Li, Yue Wang, Irwin King, and Michael R. Lyu arXiv:1711.09573v1 [cs.CL] 27 NovDepartment of Computer Science and Engineering Code Completion with Neural Attention and Pointer Networks Jian Li, Yue Wang, Irwin King, and Michael R. Lyu arXiv:1711.09573v1 [cs.CL] 27 NovDepartment of Computer Science and Engineering](https://www.pdfsearch.io/img/a077a74160eaa447229ce8b0b1f24cc8.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2017-11-27 20:57:21
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45![Aggregated Residual Transformations for Deep Neural Networks Saining Xie1 Ross Girshick2 Piotr Doll´ar2 Zhuowen Tu1 Aggregated Residual Transformations for Deep Neural Networks Saining Xie1 Ross Girshick2 Piotr Doll´ar2 Zhuowen Tu1](https://www.pdfsearch.io/img/40dd2c23e52bd2224fa357f34346228c.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2017-04-11 20:15:23
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46![OPINION MINING WITH DEEP RECURRENT NEURAL NETWORKS Ozan Irsoy and Claire Cardie
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47![Bayesian Deep Deconvolutional Neural Networks A. Bhowmik∗ A. Adiga∗ C. S. Seelamantula∗ F. Hauser† J. Jacak† B. Heise† ∗ Department of Electrical Engineering, Indian Institute of Science, Bangalore, India Bayesian Deep Deconvolutional Neural Networks A. Bhowmik∗ A. Adiga∗ C. S. Seelamantula∗ F. Hauser† J. Jacak† B. Heise† ∗ Department of Electrical Engineering, Indian Institute of Science, Bangalore, India](https://www.pdfsearch.io/img/f1b7a86a6c040fd6f317dfab024e98a1.jpg) | Add to Reading ListSource URL: bayesiandeeplearning.orgLanguage: English - Date: 2017-12-05 15:01:57
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48![Recurrent Neural Networks for Noise Reduction in Robust ASR Andrew L. Maas1 , Quoc V. Le1 , Tyler M. O’Neil1 , Oriol Vinyals2 , Patrick Nguyen3 , Andrew Y. Ng1 1 2 Recurrent Neural Networks for Noise Reduction in Robust ASR Andrew L. Maas1 , Quoc V. Le1 , Tyler M. O’Neil1 , Oriol Vinyals2 , Patrick Nguyen3 , Andrew Y. Ng1 1 2](https://www.pdfsearch.io/img/791006418b1a86caaae67b4557044cc4.jpg) | Add to Reading ListSource URL: ai.stanford.eduLanguage: English - Date: 2012-09-04 18:21:39
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49![Melford: Using Neural Networks to Find Spreadsheet Errors Rishabh Singh, Benjamin Livshits, and Benjamin Zorn Microsoft Research Microsoft Tech Report Number MSR-TR Melford: Using Neural Networks to Find Spreadsheet Errors Rishabh Singh, Benjamin Livshits, and Benjamin Zorn Microsoft Research Microsoft Tech Report Number MSR-TR](https://www.pdfsearch.io/img/2ab0aa2f55b88caef0cf642cf42fe4d3.jpg) | Add to Reading ListSource URL: www.microsoft.comLanguage: English - Date: 2018-01-04 02:48:43
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50![EE104 SpringS. Lall and S. Boyd Neural Networks EE104 SpringS. Lall and S. Boyd Neural Networks](https://www.pdfsearch.io/img/b692b754fc69cd39b1b9e7a0a25a3063.jpg) | Add to Reading ListSource URL: ee104.stanford.eduLanguage: English - Date: 2018-05-23 19:14:08
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