- Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
J. H. Lee, G. Mikriukov, G. Schwalbe, S. Wermter, and D. Wolter
European Conference on Computer Vision (ECCV) Workshops, 2024
- From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
J. H. Lee, S. Lanza, and S. Wermter
Neurosymbolic Artificial Intelligence (NAI), 2024
- Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
K. Ahrens, H. H. Lehmann, J. H. Lee, and S. Wermter
Transactions on Machine Learning Research (TMLR), 2024
- Visually Grounded Continual Language Learning with Selective Specialization
K. Ahrens, L. Bengtson, J. H. Lee, and S. Wermter
Findings of the Association for Computational Linguistics: Empirical Methods in Natural Language Processing (EMNLP Findings), 2023
- Neuro-Symbolic Spatio-Temporal Reasoning
J. H. Lee, M. Sioutis, K. Ahrens, M. Alirezaie, M. Kerzel, and S. Wermter
Compendium of Neurosymbolic Artificial Intelligence, 2023
- Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input
O. Ozdemir, M. Kerzel, C. Weber, J. H. Lee, M. B. Hafez, P. Bruns, and S. Wermter
Applied Artificial Intelligence, 2023
- What Is Right for Me Is Not yet Right for You: A Dataset for Grounding Relative Directions Via Multi-Task Learning
J. H. Lee, M. Kerzel, K. Ahrens, C. Weber, and S. Wermter
International Joint Conference on Artificial Intelligence (IJCAI), 2022
- Language Model-Based Paired Variational Autoencoders for Robotic Language Learning
O. Ozdemir, M. Kerzel, C. Weber, J. H. Lee, and S. Wermter
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2022
- Robotic Occlusion Reasoning for Efficient Object Existence Prediction
M. Li, C. Weber, M. Kerzel, J. H. Lee, Z. Zeng, Z. Liu, and S. Wermter
International Conference on Intelligent Robots and Systems (IROS), 2021
- Generalization in Multimodal Language Learning from Simulation
A. Eisermann, J. H. Lee, C. Weber, and S. Wermter
International Joint Conference on Neural Networks (IJCNN), 2021
