Michal Zajac - RankMe

20 papers A* 8Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Scaling Trends in Language Model Robustness. ICML Nikolaus H. R. Howe, Ian R. McKenzie, Oskar John Hollinsworth, Michal Zajac, Tom Tseng, Aaron David Tucker, Pierre-Luc Bacon, Adam Gleave
2024	J	`jnl`	Exploring Scaling Trends in LLM Robustness. CoRR Nikolaus H. R. Howe, Michal Zajac, Ian R. McKenzie, Oskar John Hollinsworth, Tom Tseng, Pierre-Luc Bacon, Adam Gleave
2024	A*	`conf`	Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. ICML Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2024	J	`jnl`	Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. CoRR Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2024	A*	`conf`	Prediction Error-based Classification for Class-Incremental Learning. ICLR Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven
2023	J	`jnl`	Exploiting Novel GPT-4 APIs. CoRR Kellin Pelrine, Mohammad Taufeeque, Michal Zajac, Euan McLean, Adam Gleave
2023	J	`jnl`	Exploring Continual Learning of Diffusion Models. CoRR Michal Zajac, Kamil Deja, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzcinski, Florian Shkurti, Piotr Milos
2023	J	`jnl`	Prediction Error-based Classification for Class-Incremental Learning. CoRR Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven
2023	A*	`conf`	Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2022	A*	`conf`	Disentangling Transfer in Continual Reinforcement Learning. NeurIPS Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2022	J	`jnl`	Disentangling Transfer in Continual Reinforcement Learning. CoRR Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2022	J	`jnl`	Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2021	A*	`conf`	Continual World: A Robotic Benchmark For Continual Reinforcement Learning. NeurIPS Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2021	J	`jnl`	Continual World: A Robotic Benchmark For Continual Reinforcement Learning. CoRR Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2020	A*	`conf`	Google Research Football: A Novel Reinforcement Learning Environment. AAAI Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2019	A*	`conf`	Adversarial Framing for Image and Video Classification. AAAI Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
2019	J	`jnl`	Google Research Football: A Novel Reinforcement Learning Environment. CoRR Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2019	J	`jnl`	Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift. CoRR Michal Zajac, Konrad Zolna, Stanislaw Jastrzebski
2018	J	`jnl`	Adversarial Framing for Image and Video Classification. CoRR Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
2018	J	`jnl`	Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps. CoRR Maciej Jaskowski, Jakub Swiatkowski, Michal Zajac, Maciej Klimek, Jarek Potiuk, Piotr Rybicki, Piotr Polatowski, Przemyslaw Walczyk, Kacper Nowicki, Marek Cygan