Robin Ruede

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 5

Top Topics

Weakly Supervised

Unsupervised Feature Learning

Prediction Algorithm

Top Venues

Publications

Robin Ruede, Verena Heusser, Lukas Frank, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information. ICPR (2020)
Robin Ruede, Verena Heusser, Lukas Frank, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information. CoRR (2020)
Robin Ruede, Markus Müller, Sebastian Stüker, Alex Waibel
Enhancing Backchannel Prediction Using Word Embeddings. INTERSPEECH (2017)
Robin Ruede, Markus Müller, Sebastian Stüker, Alex Waibel
Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor. IWSDS (2017)
Robin Ruede, Markus Müller, Sebastian Stüker, Alex Waibel
Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor. CoRR (2017)