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researcher

M. Leszczynski

10 papers hereh-index 10465 citations23 works total

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

author position
  • first author3
  • middle author6
  • last author1

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

fields
  • cs.CL4
  • cs.LG4
  • cs.IR2
same name
  • M. Leszczynski — 1 paper, h 28

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedHigh-Accuracy Low-Precision Training

68 citations · 175 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CL2021

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text

Maya Varma, Laurel Orr, Sen Wu +3

Named entity disambiguation (NED), which involves mapping textual mentions to structured entities, is particularly challenging in the medical domain due to the presence of rare ent…

cs.LG2021★ 2 cited

Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems

Laurel Orr, Atindriyo Sanyal, Xiao Ling +2

The industrial machine learning pipeline requires iterating on model features, training and deploying models, and monitoring deployed models at scale. Feature stores were developed…

cs.LG2021★ 8 cited

Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

Tri Dao, Nimit S. Sohoni, Albert Gu +5

Modern neural network architectures use structured linear transformations, such as low-rank matrices, sparse matrices, permutations, and the Fourier transform, to improve inference…

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