Accepted Papers at IJCNN 2021
1 July 2021

Photo: ijcnn.org
Knowledge Technology has got four papers accepted at the International Joint Conference on Neural Networks (IJCNN 2021).
1st Paper:
Title: Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems
Authors: Matthias Möller, Johannes Twiefel, Cornelius Weber, Stefan Wermter
2nd Paper:
Title: Generalization in Multimodal Language Learning from Simulation
Authors: Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter
3rd Paper:
Title: Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision
Authors: Julien Scholz, Cornelius Weber, Burhan Hafez, Stefan Wermter
4th Paper:
Title: Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments
Authors: Christoper Wulur, Cornelius Weber, Stefan Wermter
The conference will be held on 18-22 July 2021 online.