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ORCIDMichal Zajac 0005
Person information
- unicode name: Michał Zając
- affiliation: Jagiellonian University, Kraków, Poland
- affiliation: Nomagic.AI, Warsaw, Poland
- affiliation: Google Brain, Mountain View, CA, USA
Other persons with the same name
- Michal Zajac 0001 — Nethermind, UK (and 2 more)
- Michal Zajac 0002 — University of Zielona Góra, Poland
- Michal Zajac 0003 — HTW Berlin, Germany
- Michal Zajac 0004 — Slovak University of Technology, Bratislava, Slovakia
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Conference and Workshop Papers
- 2024
[c7]Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven:
Prediction Error-based Classification for Class-Incremental Learning. ICLR 2024- [c6]Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. ICML 2024 - 2023
- [c5]Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos:
Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS 2023 - 2022
- [c4]Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Disentangling Transfer in Continual Reinforcement Learning. NeurIPS 2022 - 2021
- [c3]Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Continual World: A Robotic Benchmark For Continual Reinforcement Learning. NeurIPS 2021: 28496-28510 - 2020
- [c2]Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly:
Google Research Football: A Novel Reinforcement Learning Environment. AAAI 2020: 4501-4510 - 2019
- [c1]Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. AAAI 2019: 10077-10078
Informal and Other Publications
- 2024
- [i12]Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. CoRR abs/2402.02868 (2024) - [i11]Nikolaus H. R. Howe, Michal Zajac, Ian R. McKenzie, Oskar Hollinsworth, Tom Tseng, Pierre-Luc Bacon, Adam Gleave:
Exploring Scaling Trends in LLM Robustness. CoRR abs/2407.18213 (2024) - 2023
- [i10]Michal Zajac, Kamil Deja
, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzcinski, Florian Shkurti, Piotr Milos:
Exploring Continual Learning of Diffusion Models. CoRR abs/2303.15342 (2023) - [i9]Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven:
Prediction Error-based Classification for Class-Incremental Learning. CoRR abs/2305.18806 (2023) - [i8]Kellin Pelrine, Mohammad Taufeeque, Michal Zajac, Euan McLean, Adam Gleave:
Exploiting Novel GPT-4 APIs. CoRR abs/2312.14302 (2023) - 2022
- [i7]Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Disentangling Transfer in Continual Reinforcement Learning. CoRR abs/2209.13900 (2022) - [i6]Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos:
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR abs/2211.13715 (2022) - 2021
- [i5]Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Continual World: A Robotic Benchmark For Continual Reinforcement Learning. CoRR abs/2105.10919 (2021) - 2019
- [i4]Michal Zajac, Konrad Zolna, Stanislaw Jastrzebski:
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift. CoRR abs/1904.03515 (2019) - [i3]Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly:
Google Research Football: A Novel Reinforcement Learning Environment. CoRR abs/1907.11180 (2019) - 2018
- [i2]Maciej Jaskowski, Jakub Swiatkowski, Michal Zajac, Maciej Klimek, Jarek Potiuk, Piotr Rybicki, Piotr Polatowski, Przemyslaw Walczyk, Kacper Nowicki, Marek Cygan:
Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps. CoRR abs/1802.05992 (2018) - [i1]Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. CoRR abs/1812.04599 (2018)
Coauthor Index
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