Fabian Paischer

According to our database, Fabian Paischer authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation.

Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter

CoRR, 2024

Retrieval-Augmented Decision Transformer: External Memory for In-context RL.

Thomas Schmied, Fabian Paischer, Vihang Patil, Markus Hofmarcher, Razvan Pascanu, Sepp Hochreiter

CoRR, 2024

2023

SITTA: A Semantic Image-Text Alignment for Image Captioning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoRR, 2023

Semantic HELM: An Interpretable Memory for Reinforcement Learning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoRR, 2023

Learning to Modulate pre-trained Models in RL.

Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semantic HELM: A Human-Readable Memory for Reinforcement Learning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

History Compression via Language Models in Reinforcement Learning.

Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-Zadeh, Sepp Hochreiter

Proceedings of the International Conference on Machine Learning, 2022

Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning.

Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter

Proceedings of the Conference on Lifelong Learning Agents, 2022