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researcher

I. Polosukhin

7 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 author2
  • middle author3
  • last author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.DC2
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedTensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks

17 citations · 56 across the 6 of their papers we have counts for

collaborators
Showing 2017Show all

2 papers · 1 filter

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…

cs.CL2017

Attention Is All You Need

Ashish Vaswani, Noam Shazeer, Niki Parmar +5

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also conne…

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