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researcher

Peter Izsak

Microsoft

10 papers hereh-index 111.2k citations18 works total

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

author position
  • first author2
  • middle author6
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.AI2
affiliations
  • Microsoft
HomepageORCID 0000-0001-8354-6823

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedQ8BERT: Quantized 8Bit BERT

464 citations · 478 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.CL2019

Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models

Peter Izsak, Shira Guskin, Moshe Wasserblat

Training models on low-resource named entity recognition tasks has been shown to be a challenge, especially in industrial applications where deploying updated models is a continuou…

cs.CL2019★ 464 cited

Q8BERT: Quantized 8Bit BERT

Ofir Zafrir, Guy Boudoukh, Peter Izsak +1

Recently, pre-trained Transformer based language models such as BERT and GPT, have shown great improvement in many Natural Language Processing (NLP) tasks. However, these models co…

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