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I. Polosukhin

3 papers hereh-index 11185.6k citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.DC1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

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

17 citations · 17 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2018

NAPS: Natural Program Synthesis Dataset

Maksym Zavershynskyi, Alex Skidanov, Illia Polosukhin

We present a program synthesis-oriented dataset consisting of human written problem statements and solutions for these problems. The problem statements were collected via crowdsour…

cs.AI2018

Neural Program Search: Solving Programming Tasks from Description and Examples

Illia Polosukhin, Alexander Skidanov

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…

cs.DC2017★ 17 cited

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

Heng-Tze Cheng, Zakaria Haque, Lichan Hong +12

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 o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.