Illia Polosukhin

Publications
Influence

Ashish Vaswani, Noam Shazeer, +5 authors Illia Polosukhin
Computer Science
NIPS
12 June 2017

We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Expand

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Natural Questions: A Benchmark for Question Answering Research

T. Kwiatkowski, J. Palomaki, +15 authors Slav Petrov
Computer Science
Transactions of the Association for Computational…
2 August 2019

We present the Natural Questions corpus, a question answering data set. Expand

WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia

D. Hewlett, Alexandre Lacoste, +5 authors David Berthelot
Computer Science
ACL
1 August 2016

We present WIKIREADING, a large-scale natural language understanding task and publicly-available dataset with 18 million instances. Expand

Coarse-to-Fine Question Answering for Long Documents

Eunsol Choi, D. Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant
Computer Science
ACL
6 November 2016

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. Expand

Neural Program Search: Solving Programming Tasks from Description and Examples

Illia Polosukhin, A. Skidanov
Computer Science
ICLR
12 February 2018

We present a Neural Program Search, an algorithm to generate programs from natural language description and a small number of input/output examples with efficient search algorithm guided by a Seq2Tree model. Expand

Improving Neural Program Synthesis with Inferred Execution Traces

Richard Shin, Illia Polosukhin, D. Song
Computer Science
NeurIPS
2018

We use the insight that if encoder-decoder neural networks can synthesize programs from input/output examples, they should also be able to infer execution traces. Expand

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks

Heng-Tze Cheng, Zakaria Haque, +12 authors J. Xie
Computer Science
KDD
8 August 2017

We present a framework for specifying, training, evaluating, and deploying machine learning models, and provide a library of utilities designed to speed up experimentation with model architectures. Expand

NAPS: Natural Program Synthesis Dataset

Maksym Zavershynskyi, A. Skidanov, Illia Polosukhin
Computer Science, Mathematics
ArXiv
6 July 2018

We present a program synthesis-oriented dataset consisting of human written problem statements and solutions for these problems, accompanied by input/output examples. Expand

Glutathione S‐transferase M1 modulates allergen‐induced NF‐κB activation in asthmatic airway epithelium

V. Polosukhin, Illia Polosukhin, +4 authors R. Dworski
Medicine
Allergy
1 December 2014

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 in atopic… Expand

Hierarchical Question Answering for Long Documents

Eunsol Choi, D. Hewlett, Alexandre Lacoste, Illia Polosukhin, Jakob Uszkoreit, Jonathan Berant
Computer Science
ArXiv
6 November 2016

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. Expand

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