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Christoph H. Lampert

38 papers hereh-index 4619.7k citations158 works total

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

author position
  • sole author1
  • first author1
  • middle author8
  • last author27

Across the 37 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.LG12
  • stat.ML8
  • cs.LO1
  • math.PR1
same name
  • Christoph H. Lampert — 16 papers, h 6
  • Christoph H. Lampert — 15 papers, h 8
  • Christoph H. Lampert — 9 papers, h 3
  • Christoph H. Lampert — 1 paper
  • Christoph H. Lampert — 1 paper, h 2

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
20122021
most citedZero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly

171 citations · 694 across the 32 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 8 cited

Learning Intelligent Dialogs for Bounding Box Annotation

Ksenia Konyushkova, Jasper Uijlings, Christoph Lampert +1

We introduce Intelligent Annotation Dialogs for bounding box annotation. We train an agent to automatically choose a sequence of actions for a human annotator to produce a bounding…

cs.CV2017★ 171 cited

Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly

Yongqin Xian, Christoph H. Lampert, Bernt Schiele +1

Due to the importance of zero-shot learning, i.e. classifying images where there is a lack of labeled training data, the number of proposed approaches has recently increased steadi…

cs.CV2017

Probabilistic Image Colorization

Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert

We develop a probabilistic technique for colorizing grayscale natural images. In light of the intrinsic uncertainty of this task, the proposed probabilistic framework has numerous…

cs.LG2017★ 60 cited

Data-Dependent Stability of Stochastic Gradient Descent

Ilja Kuzborskij, Christoph H. Lampert

We establish a data-dependent notion of algorithmic stability for Stochastic Gradient Descent (SGD), and employ it to develop novel generalization bounds. This is in contrast to pr…

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