2 code implementations • 30 Jun 2022 • Agnieszka Mikołajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros
In addition, we examined classification models trained on both real and synthetic data with counterfactual bias explanations.
no code implementations • 13 Sep 2021 • Raghavendra Pappagari, Piotr Żelasko, Agnieszka Mikołajczyk, Piotr Pęzik, Najim Dehak
Further, we show that by training the model in the written text domain and then transfer learning to conversations, we can achieve reasonable performance with less data.
1 code implementation • 12 May 2021 • Sylwia Majchrowska, Agnieszka Mikołajczyk, Maria Ferlin, Zuzanna Klawikowska, Marta A. Plantykow, Arkadiusz Kwasigroch, Karol Majek
Our team conducted comprehensive research on Artificial Intelligence usage in waste detection and classification to fight the world's waste pollution problem.
Ranked #1 on Object Detection on Extended TACO-1
1 code implementation • Preprint 2020 • Agnieszka Mikołajczyk, Michał Grochowski, Arkadiusz Kwasigroch
The paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data.
no code implementations • 27 May 2019 • Agnieszka Mikołajczyk, Michał Grochowski
In a proposed approach, the newly created images are described with pseudo-labels, and then used as a training dataset.