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- Ashish Vaswani, Noam Shazeer, +5 authors Illia Polosukhin
- NIPS
- 2017
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and… (More)
- Daniel Hewlett, Alexandre Lacoste, +5 authors David Berthelot
- ACL
- 2016
We present WIKIREADING, a large-scale natural language understanding task and publicly-available dataset with 18 million instances. The task is to predict textual values from the structured knowledge… (More)
We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving performance of state-ofthe-art models. While most successful… (More)
- Tom Kwiatkowski, Jennimaria Palomaki, +15 authors Slav Petrov
- Transactions of the Association for Computational…
- 2019
We present the Natural Questions corpus, a question answering data set. Questions consist of real anonymized, aggregated queries issued to the Google search engine. An annotator is presented with a… (More)
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
- Heng-Tze Cheng, Zakaria Haque, +12 authors Jianwei Xie
- KDD
- 2017
We present a framework for specifying, training, evaluating, and deploying machine learning models. Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such… (More)
- Illia Polosukhin, Alexander Skidanov
- ICLR
- 2018
We present a Neural Program Search, an algorithm to generate programs from natural language description and a small number of input/output examples. The algorithm combines methods from Deep Learning… (More)
We present a program synthesis-oriented dataset consisting of human written problem statements and solutions for these problems. The problem statements were collected via crowdsourcing and the… (More)
- Vasilly Polosukhin, Illia Polosukhin, +4 authors Ryszard Dworski
- Allergy
- 2014
BACKGROUND
Glutathione S-transferase M1 (GSTM1) is a phase II enzyme and regulator of inflammatory signaling in airway epithelial cells. We have found upregulation of neutrophilic airway inflammation… (More)
We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving performance of state-of-the-art models. While most successful… (More)
- Richard Shin, Illia Polosukhin, Dawn Xiaodong Song
- ICLR
- 2018