Publications

GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods
We present a second public release of the GreenDB and present a first benchmark for sustainability information extraction.
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Nudging Sustainable Consumption: A Large-Scale Data Analysis of Sustainability Labels for Fashion in German Online Retail
A Large-Scale data analysis of sustainability labels for fashion in German online retail.
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GreenDB: Toward a Product-by-Product Sustainability Database
We present the first public release of the GreenDB and describe its scraping pipeline.
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A Benchmark for Data Imputation Methods
Comparison of data imputation methods on a wide range of datasets, missingness patterns, and missingness fractions.
PDF Code DOI
Compressing BERT - An Evaluation and Combination of Methods
Evaluation and improvement of BERT-of-Theseus based on real world datasets and tasks.
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Parallelized Training of Deep NN – Comparison of Current Concepts and Frameworks
Kubernetes based evaluation of TensorFlows’ and MXNet’s throughput, scalability and practical ease of use.
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Machine Learning Im Kubernetes Cluster
Erläutert wie Kubernetes und das passenden Tooling hilft, Machine-Learning-Projekte effizient und erfolgreich umzusetzen.
Source Document
Horizontales Skalieren Von Deep Learning Frameworks
Kubernetes basierte Evaluation der horizontalen Skalierbarkeit von TensorFlow und MXNet mit Hilfe der Datensätze Fashion-MNIST und PTB.
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