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Jae Hee Lee
Title
Cited by
Year
Causal State Distillation for Explainable Reinforcement Learning
W Lu, X Zhao, T Fryen, JH Lee, M Li, S Magg, S Wermter
Causal Learning and Reasoning, 106-142, 2024
2024
Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input
O Özdemir, M Kerzel, C Weber, JH Lee, MB Hafez, P Bruns, S Wermter
Applied Artificial Intelligence 37 (1), 2179167, 2023
12023
Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
K Ahrens, HH Lehmann, JH Lee, S Wermter
arXiv preprint arXiv:2312.08888, 2023
12023
Visually Grounded Continual Language Learning with Selective Specialization
K Ahrens, L Bengtson, JH Lee, S Wermter
arXiv preprint arXiv:2310.15571, 2023
2023
From neural activations to concepts: A survey on explaining concepts in neural networks
JH Lee, S Lanza, S Wermter
arXiv preprint arXiv:2310.11884, 2023
22023
Enhancing zero-shot chain-of-thought reasoning in large language models through logic
X Zhao, M Li, W Lu, C Weber, JH Lee, K Chu, S Wermter
arXiv preprint arXiv:2309.13339, 2023
42023
Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial …
M Sioutis, Z Long, JH Lee, M Bhatt
2023
Neuro-Symbolic Spatio-Temporal Reasoning
JH Lee, M Sioutis, K Ahrens, M Alirezaie, M Kerzel, S Wermter
Compendium of Neurosymbolic Artificial Intelligence 369, 410, 2023
22023
Internally Rewarded Reinforcement Learning
M Li, X Zhao, JH Lee, C Weber, S Wermter
Proceedings of the 40th International Conference on Machine Learning, 2023
62023
Harnessing the power of multi-task pretraining for ground-truth level natural language explanations
B Plüster, J Ambsdorf, L Braach, JH Lee, S Wermter
arXiv preprint arXiv:2212.04231, 2022
32022
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning
C Volquardsen, JH Lee, C Weber, S Wermter
International Conference on Artificial Neural Networks, 417-428, 2022
2022
Learning flexible translation between robot actions and language descriptions
O Özdemir, M Kerzel, C Weber, JH Lee, S Wermter
International Conference on Artificial Neural Networks, 246-257, 2022
12022
Language model-based paired variational autoencoders for robotic language learning
O Özdemir, M Kerzel, C Weber, JH Lee, S Wermter
IEEE Transactions on Cognitive and Developmental Systems, 2022
32022
Spatial relation learning in complementary scenarios with deep neural networks
JH Lee, Y Yao, O Özdemir, M Li, C Weber, Z Liu, S Wermter
Frontiers in Neurorobotics 16, 844753, 2022
32022
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning
K Ahrens, M Kerzel, JH Lee, C Weber, S Wermter
arXiv preprint arXiv:2207.02624, 2022
2022
What is Right for Me is not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning
JH Lee, M Kerzel, K Ahrens, C Weber, S Wermter
31st International Joint Conference on Artificial Intelligence (IJCAI 22), 2022
92022
Robotic occlusion reasoning for efficient object existence prediction
M Li, C Weber, M Kerzel, JH Lee, Z Zeng, Z Liu, S Wermter
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
72021
Embodied language learning with paired variational autoencoders
O Özdemir, M Kerzel, S Wermter
2021 IEEE International Conference on Development and Learning (ICDL), 1-6, 2021
62021
Generalization in multimodal language learning from simulation
A Eisermann, JH Lee, C Weber, S Wermter
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
82021
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
S Kong, J Bai, JH Lee, D Chen, A Allyn, M Stuart, M Pinsky, K Mills, ...
29th International Joint Conference on Artificial Intelligence (IJCAI), 2020
142020
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