Search Results for author: Michael Schröder

Found 3 papers, 2 papers with code

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

1 code implementation6 Oct 2020 Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury

Based on this finding, we propose a cross-architecture training procedure with a margin focused loss (Margin-MSE), that adapts knowledge distillation to the varying score output distributions of different BERT and non-BERT passage ranking architectures.

Knowledge Distillation Passage Ranking +3

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering

1 code implementation12 Aug 2020 Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury

We extend the ranked retrieval annotations of the Deep Learning track of TREC 2019 with passage and word level graded relevance annotations for all relevant documents.

Document Ranking Question Answering +1

Playing Pinball with non-invasive BCI

no code implementations NeurIPS 2008 Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre, Klaus-Robert Müller, Michael Schröder

Compared to invasive Brain-Computer Interfaces (BCI), non-invasive BCI systems based on Electroencephalogram (EEG) signals have not been applied successfully for complex control tasks.

EEG

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