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researcher

Mark Hamilton

6 papers here

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

author position
  • sole author1
  • first author3

Across the 4 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV1
  • cs.DC1
same name
  • Mark Hamilton — 4 papers
  • Mark Hamilton — 2 papers
  • Mark Hamilton — 1 paper, h 1
  • Mark Hamilton — 1 paper

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
20182022
most citedUnsupervised Semantic Segmentation by Distilling Feature Correspondences

115 citations · 117 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2020

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

Mark Hamilton, Stephanie Fu, Mindren Lu +9

We introduce MosAIc, an interactive web app that allows users to find pairs of semantically related artworks that span different cultures, media, and millennia. To create this appl…

cs.LG2020★ 2 cited

It Is Likely That Your Loss Should be a Likelihood

Mark Hamilton, Evan Shelhamer, William T. Freeman

Many common loss functions such as mean-squared-error, cross-entropy, and reconstruction loss are unnecessarily rigid. Under a probabilistic interpretation, these common losses cor…

cs.LG2018

Semi-Supervised Translation with MMD Networks

Mark Hamilton

This work aims to improve semi-supervised learning in a neural network architecture by introducing a hybrid supervised and unsupervised cost function. The unsupervised component is…

cs.LG2018

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales

Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach +13

We introduce Microsoft Machine Learning for Apache Spark (MMLSpark), an ecosystem of enhancements that expand the Apache Spark distributed computing library to tackle problems in D…

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