Michal Zajac

According to our database, Michal Zajac authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

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

CoRR, 2024

2023

Exploiting Novel GPT-4 APIs.

Kellin Pelrine, Mohammad Taufeeque, Michal Zajac, Euan McLean, Adam Gleave

CoRR, 2023

Prediction Error-based Classification for Class-Incremental Learning.

Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven

CoRR, 2023

Exploring Continual Learning of Diffusion Models.

Michal Zajac, Kamil Deja, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzcinski, Florian Shkurti, Piotr Milos

CoRR, 2023

Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery.

Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos

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

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

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

2020

Google Research Football: A Novel Reinforcement Learning Environment.

Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift.

Michal Zajac, Konrad Zolna, Stanislaw Jastrzebski

CoRR, 2019

Adversarial Framing for Image and Video Classification.

Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps.

Maciej Jaskowski, Jakub Swiatkowski, Michal Zajac, Maciej Klimek, Jarek Potiuk, Piotr Rybicki, Piotr Polatowski, Przemyslaw Walczyk, Kacper Nowicki, Marek Cygan

CoRR, 2018