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researcher

William Stafford Noble

University of Washington

11 papers hereh-index 9862.1k citations385 works total

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

author position
  • middle author4
  • last author7

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • stat.ME3
  • q-bio.QM2
  • cs.CE1
  • q-bio.MN1
affiliations
  • University of Washington
Homepage

identity via Semantic Scholar / OpenAlex

activity
20062023
most citedDeepPINK: reproducible feature selection in deep neural networks

66 citations · 104 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023★ 1 cited

DeepROCK: Error-controlled interaction detection in deep neural networks

Winston Chen, William Stafford Noble, Yang Young Lu

The complexity of deep neural networks (DNNs) makes them powerful but also makes them challenging to interpret, hindering their applicability in error-intolerant domains. Existing…

cs.LG2020★ 1 cited

DANCE: Enhancing saliency maps using decoys

Yang Lu, Wenbo Guo, Xinyu Xing +1

Saliency methods can make deep neural network predictions more interpretable by identifying a set of critical features in an input sample, such as pixels that contribute most stron…

cs.LG2019★ 25 cited

apricot: Submodular selection for data summarization in Python

Jacob Schreiber, Jeffrey Bilmes, William Stafford Noble

We present apricot, an open source Python package for selecting representative subsets from large data sets using submodular optimization. The package implements an efficient greed…

cs.LG2018★ 66 cited

DeepPINK: reproducible feature selection in deep neural networks

Yang Young Lu, Yingying Fan, Jinchi Lv +1

Deep learning has become increasingly popular in both supervised and unsupervised machine learning thanks to its outstanding empirical performance. However, because of their intrin…

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