Maciej Wolczyk

According to our database, Maciej Wolczyk authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-Label Conditional Generation From Pre-Trained Models.

Magdalena Proszewska, Maciej Wolczyk, Maciej Zieba, Patryk Wielopolski, Lukasz Maziarka, Marek Smieja

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models.

Gracjan Góral, Alicja Ziarko, Michal Nauman, Maciej Wolczyk

CoRR, 2024

State Soup: In-Context Skill Learning, Retrieval and Mixing.

Maciej Pióro, Maciej Wolczyk, Razvan Pascanu, Johannes von Oswald, João Sacramento

CoRR, 2024

Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem.

Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Discovering modular solutions that generalize compositionally.

Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Proca, Johannes von Oswald, Razvan Pascanu, João Sacramento, Angelika Steger

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale.

Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Zero time waste in pre-trained early exit neural networks.

Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski

Neural Networks, November, 2023

Hebbian Continual Representation Learning.

Pawel Morawiecki, Andrii Krutsylo, Maciej Wolczyk, Marek Smieja

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

The Effectiveness of World Models for Continual Reinforcement Learning.

Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

On the Relationship Between Disentanglement and Multi-task Learning.

Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Disentangling Transfer in Continual Reinforcement Learning.

Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies.

Matt Vitelli, Yan Chang, Yawei Ye, Ana Ferreira, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Continual Learning with Guarantees via Weight Interval Constraints.

Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek

Proceedings of the International Conference on Machine Learning, 2022

PluGeN: Multi-Label Conditional Generation from Pre-trained Models.

Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SeGMA: Semi-Supervised Gaussian Mixture Autoencoder.

Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger

IEEE Trans. Neural Networks Learn. Syst., 2021

SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies.

Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska

CoRR, 2021

Continual World: A Robotic Benchmark For Continual Reinforcement Learning.

Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks.

Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients.

Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract).

Maciej Wolczyk, Andrii Krutsylo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Finding the Optimal Network Depth in Classification Tasks.

Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Biologically-Inspired Spatial Neural Networks.

Maciej Wolczyk, Jacek Tabor, Marek Smieja, Szymon Maszke

CoRR, 2019

SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder.

Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger

CoRR, 2019

Multi-task hypernetworks.

Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak

CoRR, 2019

Hypernetwork Functional Image Representation.

Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019