Tim Korjakow

According to our database, Tim Korjakow authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI.

Daniel McDuff, Tim Korjakow, Scott Cambo, Jesse Josua Benjamin, Jenny Lee, Yacine Jernite, Carlos Muñoz Ferrandis, Aaron Gokaslan, Alek Tarkowski, Joseph Lindley, A. Feder Cooper, Danish Contractor

CoRR, 2024

Text-Mining of E-Participation Platforms: Applying Topic Modeling on Join and iVoting in Taiwan.

Moritz Sontheimer, Jonas Fahlbusch, Tim Korjakow, Shuo-Yan Chou

Proceedings of the Engineering For Social Change, 2024

Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI.

Daniel McDuff, Tim Korjakow, Scott Cambo, Jesse Josua Benjamin, Jenny Lee, Yacine Jernite, Carlos Muñoz Ferrandis, Aaron Gokaslan, Alek Tarkowski, Joseph Lindley, A. Feder Cooper, Danish Contractor

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study.

Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni, Tim Korjakow, David Grist, Rhiannon Sharkey

Proceedings of the Designing Interactive Systems Conference, 2024

2023

FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning.

Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek

IEEE Trans. Neural Networks Learn. Syst., September, 2023

2022

Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability.

Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, Eva-Maria Herbst

Proc. ACM Hum. Comput. Interact., 2022

2019

Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization.

Christoph Kinkeldey, Tim Korjakow, Jesse Josua Benjamin

Proceedings of the 1st EuroVis Workshop on Trustworthy Visualization, 2019