Transfer Learning

A. Gruca, F. Serva, L. Lliso, P. Rípodas, X. Calbet, P. Herruzo, J. Pihrt, R. Raevskyi, P. Šimánek, M. Choma, Y. Li, H. Dong, Y. Belousov, S. Polezhaev, B. Pulfer, M. Seo, D. Kim, S. Shin, E. Kim, S. Ahn, Y. Choi, J. Park, M. Son, S. Cho, I. Lee, C. Kim, T. Kim, S. Kang, H. Shin, D. Yoon, S. Eom, K. Shin, S.-Y. Yun, B. Le Saux, M. K. Kopp, S. Hochreiter, and D. P. Kreil (2023) Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. Proceedings of the NeurIPS 2022 Competitions Track, PMLR, 220, 292-313, 2023-09-04. (more) (download)

R. Jena, A. Shanableh, R. Al-Ruzouq, B. Pradhan, M. B. A Gibril, O. Ghorbanzadeh, C. Atzberger, M. A. Khalil, H. Mittal, and P. Ghamisi (2023) An Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region. Remote Sensing, 15, 15, 3759, 2023-07-28. (more) (download)

M.-C. Dinu, M. Holzleitner, M. Beck, H. D. Nguyen, A. Huber, H. Eghbal-zadeh, B. A. Moser, S. Pereverzyev, S. Hochreiter, and W. Zellinger (2023) Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. arXiv:2305.01281, 2023-05-02. (more) (download)

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)

C. Eichenberger, M. Neun, H. Martin, P. Herruzo, M. Spanring, Y. Lu, S. Choi, V. Konyakhin, N. Lukashina, A. Shpilman, N. Wiedemann, M. Raubal, B. Wang, H. L. Vu, R. Mohajerpoor, C. Cai, I. Kim, L. Hermes, A. Melnik, R. Velioglu, M. Vieth, M. Schilling, A. Bojesomo, H. Al Marzouqi, P. Liatsis, J. Santokhi, D. Hillier, Y. Yang, J. Sarwar, A. Jordan, E. Hewage, D. Jonietz, F. Tang, A. Gruca, M. Kopp, D. Kreil, and S. Hochreiter (2022) Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS 2021 Competitions and Demonstrations Track, PMLR, 176, 97-112, 2022-07-20. (more) (download)

W. Wang, Y. Chen, and P. Ghamisi (2022) Transferring CNN with Adaptive Learning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-07-14. (more) (download)

M. Gauch, M. Beck, T. Adler, D. Kotsur, S. Fiel, H. Eghbal-zadeh, J. Brandstetter, J. Kofler, M. Holzleitner, W. Zellinger, D. Klotz, S. Hochreiter, and S. Lehner (2022) Few-Shot Learning by Dimensionality Reduction in Gradient Space. arXiv:2206.03483, 2022-06-07. (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)

S. Hochreiter (2022) Toward a broad AI. Communications of the ACM, 65, 4, 56-57, 2022-03-19. (more) (download)

P. Herruzo, A. Gruca, L. Lliso, X. Calbet, P. Rípodas, S. Hochreiter, M. Kopp, and D. P. Kreil (2021) High-Resolution Multi-Channel Weather Forecasting – First Insights on Transfer Learning from the Weather4cast Competitions 2021. 2021 IEEE International Conference on Big Data, 5750-5757, 2021-12-15. (more) (download)