Contrastive Learning
2023
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
G. Klambauer, A. S. Fernandez, E. Rumetshofer, and S. Hochreiter (2022) CLOOME: Contrastive Learning Unlocks Bioimaging Databases for Queries with Chemical Structures. Research Square, 2022-12-01. (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 Workshop Proceedings, 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)
A. Fürst, E. Rumetshofer, V. Tran, H. Ramsauer, F. Tang, J. Lehner, D. Kreil, M. Kopp, G. Klambauer, A. Bitto-Nemling, and S. Hochreiter (2021) CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. arXiv:2110.11316, 2021-10-21. (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)