Bartosz Wójcik

According to our database, Bartosz Wójcik authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Face Identity-Aware Disentanglement in StyleGAN.

Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference.

Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane

CoRR, 2023

Exploiting Transformer Activation Sparsity with Dynamic Inference.

Mikolaj Piórczynski, Filip Szatkowski, Klaudia Balazy, Bartosz Wójcik

CoRR, 2023

2022

Finicky transfer learning - A method of pruning convolutional neural networks for cracks classification on edge devices.

Mateusz Zarski, Bartosz Wójcik, Kamil Ksiazek, Jaroslaw Adam Miszczak

Comput. Aided Civ. Infrastructure Eng., 2022

SLOVA: Uncertainty estimation using single label one-vs-all classifier.

Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor

Appl. Soft Comput., 2022

Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset.

Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak, Bartlomiej Blachowski, Mariusz Ostrowski

IEEE Access, 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

2021

KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection.

Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak

SoftwareX, 2021

Hard hat wearing detection based on head keypoint localization.

Bartosz Wójcik, Mateusz Zarski, Kamil Ksiazek, Jaroslaw Adam Miszczak, Miroslaw J. Skibniewski

CoRR, 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

Adversarial Examples Detection and Analysis with Layer-wise Autoencoders.

Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Transfer learning for leveraging computer vision in infrastructure maintenance.

Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak

CoRR, 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

One-element Batch Training by Moving Window.

Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik

CoRR, 2019

LOSSGRAD: automatic learning rate in gradient descent.

Bartosz Wójcik, Lukasz Maziarka, Jacek Tabor

CoRR, 2019

Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods.

Krzysztof Rzecki, Bartosz Wójcik, Mateusz Baran, Maciej Sulowicz

Proceedings of the Artificial Intelligence and Soft Computing, 2019