Bartosz Wójcik

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Computational Intelligence Methods

Induction Motor

Transfer Learning

Delta Bar Delta

Top Venues

Comput. Aided Civ. Infrastructure Eng.

Publications

Bartlomiej Krzepkowski, Monika Michaluk, Franciszek Szarwacki, Piotr Kubaty, Jary Pomponi, Tomasz Trzcinski, Bartosz Wójcik, Kamil Adamczewski
Joint or Disjoint: Mixing Training Regimes for Early-Exit Models. CoRR (2024)
Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
Face Identity-Aware Disentanglement in StyleGAN. WACV (2024)
Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
Face Identity-Aware Disentanglement in StyleGAN. CoRR (2023)
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference. CoRR (2023)
Mikolaj Piórczynski, Filip Szatkowski, Klaudia Balazy, Bartosz Wójcik
Exploiting Transformer Activation Sparsity with Dynamic Inference. CoRR (2023)
Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero time waste in pre-trained early exit neural networks. Neural Networks 168 (2023)
Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak, Bartlomiej Blachowski, Mariusz Ostrowski
Computer Vision based inspection on post-earthquake with UAV synthetic dataset. CoRR (2022)
Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier. CoRR (2022)
Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor
SLOVA: Uncertainty estimation using single label one-vs-all classifier. Appl. Soft Comput. 126 (2022)
Mateusz Zarski, Bartosz Wójcik, Kamil Ksiazek, Jaroslaw Adam Miszczak
Finicky transfer learning - A method of pruning convolutional neural networks for cracks classification on edge devices. Comput. Aided Civ. Infrastructure Eng. 37 (4) (2022)
Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
Continual Learning with Guarantees via Weight Interval Constraints. ICML (2022)
Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak, Bartlomiej Blachowski, Mariusz Ostrowski
Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset. IEEE Access 10 (2022)
Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
Continual Learning with Guarantees via Weight Interval Constraints. CoRR (2022)
Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. ICTAI (2021)
Bartosz Wójcik, Mateusz Zarski, Kamil Ksiazek, Jaroslaw Adam Miszczak, Miroslaw J. Skibniewski
Hard hat wearing detection based on head keypoint localization. CoRR (2021)
Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR (2021)
Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS (2021)
Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak
KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection. SoftwareX 16 (2021)
Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. CoRR (2020)
Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak
Transfer learning for leveraging computer vision in infrastructure maintenance. CoRR (2020)
Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor
Finding the Optimal Network Depth in Classification Tasks. ECML/PKDD (3) (2020)
Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor
Finding the Optimal Network Depth in Classification Tasks. CoRR (2020)
Krzysztof Rzecki, Bartosz Wójcik, Mateusz Baran, Maciej Sulowicz
Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods. ICAISC (1) (2019)
Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik
One-element Batch Training by Moving Window. CoRR (2019)
Bartosz Wójcik, Lukasz Maziarka, Jacek Tabor
LOSSGRAD: automatic learning rate in gradient descent. CoRR (2019)