| WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models B Minixhofer, F Paischer, N Rekabsaz NAACL 2022, 3992–4006, 2021 | 71 | 2021 |
| Acoustic scene classification with fully convolutional neural networks and I-vectors M Dorfer, B Lehner, H Eghbal-zadeh, H Christop, P Fabian, W Gerhard Proceedings of the detection and classification of acoustic scenes and events, 2018 | 69 | 2018 |
| History Compression via Language Models in Reinforcement Learning F Paischer, T Adler, V Patil, A Bitto-Nemling, M Holzleitner, S Lehner, ... International Conference on Machine Learning 162, 17156-17185, 2022 | 47 | 2022 |
| Reactive exploration to cope with non-stationarity in lifelong reinforcement learning CA Steinparz, T Schmied, F Paischer, MC Dinu, VP Patil, A Bitto-Nemling, ... Conference on Lifelong Learning Agents, 441-469, 2022 | 17 | 2022 |
| Semantic helm: A human-readable memory for reinforcement learning F Paischer, T Adler, M Hofmarcher, S Hochreiter Advances in Neural Information Processing Systems 36, 2024 | 12* | 2024 |
| Learning to Modulate pre-trained Models in RL T Schmied, M Hofmarcher, F Paischer, R Pascanu, S Hochreiter Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 9 | 2023 |
| Retrieval-augmented decision transformer: External memory for in-context rl T Schmied, F Paischer, V Patil, M Hofmarcher, R Pascanu, S Hochreiter arXiv preprint arXiv:2410.07071, 2024 | 4 | 2024 |
| Foundation Models for History Compression in Reinforcement Learning F Paischer, T Adler, A Radler, M Hofmarcher, S Hochreiter NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022 | 4* | 2022 |
| Audio tagging with convolutional neural networks trained with noisy data F Paischer, K Prinz, G Widmer Proc. of the Detection and Classification of Acoustic Scenes and Events Workshop, 2019 | 2 | 2019 |
| One initialization to rule them all: Fine-tuning via explained variance adaptation F Paischer, L Hauzenberger, T Schmied, B Alkin, MP Deisenroth, ... arXiv preprint arXiv:2410.07170, 2024 | 1 | 2024 |
| Linear Alignment of Vision-language Models for Image Captioning F Paischer, T Adler, M Hofmarcher, S Hochreiter arXiv preprint arXiv:2307.05591, 2023 | 1* | 2023 |
| Preference Discerning with LLM-Enhanced Generative Retrieval F Paischer, L Yang, L Liu, S Shao, K Hassani, J Li, R Chen, ZG Li, X Gao, ... arXiv preprint arXiv:2412.08604, 2024 | | 2024 |
| Unifying Generative and Dense Retrieval for Sequential Recommendation L Yang, F Paischer, K Hassani, J Li, S Shao, ZG Li, Y He, X Feng, ... arXiv preprint arXiv:2411.18814, 2024 | | 2024 |
| Harnessing Language for Abstraction Across Modalities in Deep Learning F Paischer | | 2024 |
| Applying Return Decomposition for Delayed Rewards (RUDDER) to Text-Based Games/submitted by Fabian Paischer F Paischer Universität Linz, 2020 | | 2020 |
| Improving Generalization of Deep Convolutional Neural Networks for Acoustic Scene Classification F Paischer Jihočeská univerzita, 2018 | | 2018 |
Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzAdresă de e-mail confirmată pe ml.jku.at
