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Interview with Markus Schedl on personality bias

Interview with Markus Schedl on personality bias in music recommender systems, aired on Deutschlandfunk Corso [in German]

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Algorithms tend to make better music suggestions for emotionally unstable people

CP researchers continue their research on bias in recommendation systems

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Schroedingerskatze reflects on the work of CP researchers on gender bias in deep learning

The scientific blog Schroedingerskatze reflects on the work of CP researchers on gender bias in search engines using deep learning methods. Read the...

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CP researcher invited to speak at the Amirkabir Artificial Intelligence Summer Summit

"On the Inductive Biases in Data Augmentation and Adversarial Robustness"

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CP researchers present their latest work on Trustworthy Machine Learning

Despite the successes of Deep Neural Networks in many domains, it has been shown that they are very brittle when encountered with adversarial...

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CP Researchers attend the "Microsoft Research Frontiers in Machine Learning 2020" virtual conference

CP researcher Hamid Eghbal-zadeh, and CP PhD students Khaled Koutini, Florian Henkel, Paul Primus, and Shreyan Chowdhury have been invited to attend...

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The work of CP researchers on gender bias in neural Information Retrieval models in news  

Decisions made by learning-based systems can be discriminatory or racist, caused by the underlying biases in data and models. Navid Rekab-Saz and...

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Top Ranks for CP Teams in the DCASE 2020 Challenge
 

CP Team members Khaled Koutini, Florian Henkel, Paul Primus, Verena Haunschmid, Hamid Eghbal-zadeh, and Gerhard Widmer achieve top ranks in the DCASE...

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How do online platforms like Spofity & Co know which music their users like?
 

CP's researcher Christine Bauer in an interview with LIWEST