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researcher

Michael Kopp

5 papers here

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

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV1
  • q-bio.NC1
same name
  • Michael Kopp — 3 papers
  • Michael Kopp — 2 papers
  • Michael Kopp — 1 paper
  • Michael Kopp — 1 paper, h 9

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
20202022
most citedTraffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes

10 citations · 25 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2022★ 3 cited

Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report

Ivan Svogor, Christian Eichenberger, Markus Spanring +2

A growing number of Machine Learning Frameworks recently made Deep Learning accessible to a wider audience of engineers, scientists, and practitioners, by allowing straightforward…

cs.LG2022★ 10 cited

Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes

Christian Eichenberger, Moritz Neun, Henry Martin +34

The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggrega…

cs.LG2020

Cross-Domain Few-Shot Learning by Representation Fusion

Thomas Adler, Johannes Brandstetter, Michael Widrich +5

In order to quickly adapt to new data, few-shot learning aims at learning from few examples, often by using already acquired knowledge. The new data often differs from the previous…

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