| 1 | -- | 0 | George Saon, Michael Picheny. Recent advances in conversational speech recognition using convolutional and recurrent neural networks |
| 2 | -- | 0 | Kartik Audhkhasi, Andrew Rosenberg, George Saon, Abhinav Sethy, Bhuvana Ramabhadran, Stanley F. Chen, Michael Picheny. Recent progress in deep end-to-end models for spoken language processing |
| 3 | -- | 0 | Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, Yoav Goldberg. Analysis of sentence embedding models using prediction tasks in natural language processing |
| 4 | -- | 0 | B. Bhattacharjee, Matthew L. Hill, H. Wu, P. S. Chandakkar, John R. Smith, M. N. Wegman. Distributed learning of deep feature embeddings for visual recognition tasks |
| 5 | -- | 0 | Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David Gutman, Brian Helba, Alan Halpern, John R. Smith. Deep learning ensembles for melanoma recognition in dermoscopy images |
| 6 | -- | 0 | Behzad Bozorgtabar, Suman Sedai, Pallab Kanti Roy, Rahil Garnavi. Skin lesion segmentation using deep convolution networks guided by local unsupervised learning |
| 7 | -- | 0 | R. Nair, S. Gupta. Wildfire: Approximate synchronization of parameters in distributed deep learning |
| 8 | -- | 0 | Takayuki Osogami, Sakyasingha Dasgupta. Learning the values of the hyperparameters of a dynamic Boltzmann machine |
| 9 | -- | 0 | Gonzalo I. Diaz, Achille Fokoue-Nkoutche, Giacomo Nannicini, Horst Samulowitz. An effective algorithm for hyperparameter optimization of neural networks |
| 10 | -- | 0 | Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi, Parijat Dube, Ben Herta, Vatche Ishakian, K. R. Jayaram, Rania Khalaf, Avesh Krishna, Y. B. Li, Vinod Muthusamy, Ruchir Puri, Yufei Ren, Florian Rosenberg, Seetharami R. Seelam, Yi Wang, J. M. Zhang, L. Zhang. IBM Deep Learning Service |
| 11 | -- | 0 | Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Kohji Hosokawa, S. C. Lewis, Robert M. Shelby, Geoffrey W. Burr. Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory |
| 12 | -- | 0 | Michael Gschwind, Tim Kaldewey, David K. Tam. Optimizing the efficiency of deep learning through accelerator virtualization |
| 13 | -- | 0 | Matthew M. Ziegler, Ramon Bertran Monfort, Alper Buyuktosunoglu, Pradip Bose. Machine learning techniques for taming the complexity of modern hardware design |
| 14 | -- | 0 | Raimo Bakis, Daniel P. Connors, Parijat Dube, Pavan Kapanipathi, Abhishek Kumar, Dmitry Malioutov, Chitra Venkatramani. Performance of natural language classifiers in a question-answering system |
| 15 | -- | 0 | Aaron K. Baughman, Steven Hammer, David Provan. Using language models for improving speech recognition for U.S. Open Tennis Championships |