28 citations · 41 across the 2 of their papers we have counts for
4 papers
Scalable Active Learning for Object Detection
Elmar Haussmann, Michele Fenzi, Kashyap Chitta +7
Deep Neural Networks trained in a fully supervised fashion are the dominant technology in perception-based autonomous driving systems. While collecting large amounts of unlabeled d…
Training Data Subset Search with Ensemble Active Learning
Kashyap Chitta, Jose M. Alvarez, Elmar Haussmann +1
Deep Neural Networks (DNNs) often rely on very large datasets for training. Given the large size of such datasets, it is conceivable that they contain certain samples that either d…
Overview of the Triple Scoring Task at the WSDM Cup 2017
Hannah Bast, Björn Buchhold, Elmar Haussmann
This paper provides an overview of the triple scoring task at the WSDM Cup 2017, including a description of the task and the dataset, an overview of the participating teams and the…
Broccoli: Semantic Full-Text Search at your Fingertips
Hannah Bast, Florian Bäurle, Björn Buchhold +1
We present Broccoli, a fast and easy-to-use search engine for what we call semantic full-text search. Semantic full-text search combines the capabilities of standard full-text sear…