2023

Y. Cai, Z. Zhang, P. Ghamisi, B. Rasti, X. Liu, and Z. Cai (2023) Transformer-based Contrastive Prototypical Clustering for Multimodal Remote Sensing Data. Information Sciences, 119655, 2023-09-06. (more) (download)

L. Ouyang, G. Guo, L. Fang, P. Ghamisi, and J. Yue (2023) PCLDet: Prototypical Contrastive Learning for Fine-Grained Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 61, 2023-06-27. (more) (download)

F. Paischer, T. Adler, M. Hofmarcher, and S. Hochreiter (2023) Semantic HELM: An Interpretable Memory for Reinforcement Learning. arXiv:2306.09312, 2023-06-15. (more) (download)

J. Lehner, B. Alkin, A. Fürst, E. Rumetshofer, L. Miklautz, and S. Hochreiter (2023) Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. arXiv:2304.10520, 2023-04-20. (more) (download)

P. Seidl, A. Vall, S. Hochreiter, and G. Klambauer (2023) Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. arXiv:2303.03363, 2023-03-06. (more) (download)

2022

A. Fürst, E. Rumetshofer, J. Lehner, V. T. Tran, F. Tang, H. Ramsauer, D. Kreil, M. Kopp, G. Klambauer, A. Bitto, and S. Hochreiter (2022) CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. Advances in Neural Information Processing Systems (NeurIPS 2022),  35, 20450-20468, 2022-12-06. (more) (download)

A. Sanchez-Fernandez, E. Rumetshofer, S. Hochreiter, and G. Klambauer (2022) CLOOME: Contrastive Learning Unlocks Bioimaging Databases for Queries with Chemical Structures. bioRxiv 2022.11.17.516915, 2022-11-18. (more) (download)

L. Huang, Y. Chen, X. He, and P. Ghamisi (2022) Supervised Contrastive Learning-Based Classification for Hyperspectral Image. Remote Sensing, 14, 21, 5530, 2022-11-02. (more) (download)

Y. Cai, Z. Zhang, P. Ghamisi, Y. Ding, X. Liu, Z. Cai, and R. Gloaguen (2022) Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 2022-06-01. (more) (download)

A. Sanchez-Fernandez, E. Rumetshofer, S. Hochreiter, and G. Klambauer (2022) Contrastive Learning of Image- and Structure-based Representations in Drug Discovery. ICLR 2022 Machine Learning for Drug Discovery, 2022-04-29. (more) (download)

2021

Y. Cai, Z. Zhang, Y. Liu, P. Ghamisi, K. Li, X. Liu, and Z. Cai (2021) Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. arXiv:2111.07945, 2021-11-15. (more) (download)

P. Seidl, P. Renz, N. Dyubankova, P. Neves, J. Verhoeven, J. K. Wegner, S. Hochreiter, and G. Klambauer (2021) Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. arXiv:2104.03279, 2021-04-07. (more) (download)

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