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2020 – today
- 2024
[c6]Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja:
Face Identity-Aware Disentanglement in StyleGAN. WACV 2024: 5210-5219- [i14]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 abs/2407.14320 (2024) - 2023
- [j5]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: 580-601 (2023) - [i13]Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja:
Face Identity-Aware Disentanglement in StyleGAN. CoRR abs/2309.12033 (2023) - [i12]Mikolaj Piórczynski, Filip Szatkowski, Klaudia Balazy, Bartosz Wójcik:
Exploiting Transformer Activation Sparsity with Dynamic Inference. CoRR abs/2310.04361 (2023) - [i11]Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane:
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference. CoRR abs/2312.10193 (2023) - 2022
- [j4]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: 108134-108144 (2022) - [j3]Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor:
SLOVA: Uncertainty estimation using single label one-vs-all classifier. Appl. Soft Comput. 126: 109219 (2022) - [j2]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): 500-515 (2022) - [c5]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: 23897-23911 - [i10]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 abs/2206.07996 (2022) - [i9]Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor:
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier. CoRR abs/2206.13923 (2022) - [i8]Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak, Bartlomiej Blachowski, Mariusz Ostrowski:
Computer Vision based inspection on post-earthquake with UAV synthetic dataset. CoRR abs/2210.05282 (2022) - 2021
- [j1]Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak:
KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection. SoftwareX 16: 100893 (2021) - [c4]Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor:
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. ICTAI 2021: 1322-1326 - [c3]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: 2516-2528 - [i7]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 abs/2106.05409 (2021) - [i6]Bartosz Wójcik, Mateusz Zarski, Kamil Ksiazek, Jaroslaw Adam Miszczak, Miroslaw J. Skibniewski:
Hard hat wearing detection based on head keypoint localization. CoRR abs/2106.10944 (2021) - 2020
- [c2]Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor:
Finding the Optimal Network Depth in Classification Tasks. ECML/PKDD (3) 2020: 263-278 - [i5]Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor:
Finding the Optimal Network Depth in Classification Tasks. CoRR abs/2004.08172 (2020) - [i4]Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak:
Transfer learning for leveraging computer vision in infrastructure maintenance. CoRR abs/2004.12337 (2020) - [i3]Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor:
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. CoRR abs/2006.10013 (2020)
2010 – 2019
- 2019
- [c1]Krzysztof Rzecki, Bartosz Wójcik, Mateusz Baran, Maciej Sulowicz:
Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods. ICAISC (1) 2019: 673-684 - [i2]Bartosz Wójcik, Lukasz Maziarka, Jacek Tabor:
LOSSGRAD: automatic learning rate in gradient descent. CoRR abs/1902.07656 (2019) - [i1]Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik:
One-element Batch Training by Moving Window. CoRR abs/1905.12947 (2019)
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last updated on 2024-08-23 19:24 CEST by the dblp team
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