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

Source URL: bayesiandeeplearning.org

Recurrent Neural Networks for Interval Duration Discrimination Task

Source URL: timestorm.eu

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

Source URL: arxiv.org

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

Source URL: arxiv.org

Aggregated Residual Transformations for Deep Neural Networks Saining Xie1 Ross Girshick2 Piotr Doll´ar2 Zhuowen Tu1

Source URL: arxiv.org

OPINION MINING WITH DEEP RECURRENT NEURAL NETWORKS Ozan Irsoy and Claire Cardie Introduction

Source URL: www.cs.cornell.edu

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

Source URL: bayesiandeeplearning.org

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

Source URL: ai.stanford.edu

Melford: Using Neural Networks to Find Spreadsheet Errors Rishabh Singh, Benjamin Livshits, and Benjamin Zorn Microsoft Research Microsoft Tech Report Number MSR-TR

Source URL: www.microsoft.com

• Artificial neural networks
• Machine learning
• Artificial intelligence
• Learning
• Spreadsheet software
• Spreadsheet
• Long short-term memory
• Microsoft Excel
• Support vector machine
• Training
• test
• and validation sets
• Numbers
• Deep learning

EE104 SpringS. Lall and S. Boyd Neural Networks

Source URL: ee104.stanford.edu