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Haw-Shiuan Chang

UMass Amherst

21 papers hereh-index 161.4k citations34 works total

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

author position
  • first author10
  • middle author9
  • last author1

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CL16
  • cs.IR2
  • cond-mat.mtrl-sci1
  • cs.AI1
  • stat.ML1
affiliations
  • UMass Amherst
Homepage
same name
  • Haw-Shiuan Chang — 5 papers, h 1
  • Haw-Shiuan Chang — 2 papers, h 1

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
20172024
most citedActive Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

129 citations · 275 across the 21 of their papers we have counts for

collaborators
Showing 2017 · stat.MLShow all

1 paper · 2 filters

stat.ML2017★ 129 cited

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum

Self-paced learning and hard example mining re-weight training instances to improve learning accuracy. This paper presents two improved alternatives based on lightweight estimates…

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