Bartosz Wójcik

Orcid: 0000-0002-1100-4176

According to our database1, Bartosz Wójcik authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Joint or Disjoint: Mixing Training Regimes for Early-Exit Models.
CoRR, 2024

Face Identity-Aware Disentanglement in StyleGAN.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Zero-Waste Machine Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Zero time waste in pre-trained early exit neural networks.
Neural Networks, November, 2023

Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference.
CoRR, 2023

Exploiting Transformer Activation Sparsity with Dynamic Inference.
CoRR, 2023

2022
Finicky transfer learning - A method of pruning convolutional neural networks for cracks classification on edge devices.
Comput. Aided Civ. Infrastructure Eng., 2022

SLOVA: Uncertainty estimation using single label one-vs-all classifier.
Appl. Soft Comput., 2022

Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset.
IEEE Access, 2022

Continual Learning with Guarantees via Weight Interval Constraints.
Proceedings of the International Conference on Machine Learning, 2022

2021
KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection.
SoftwareX, 2021

Hard hat wearing detection based on head keypoint localization.
CoRR, 2021

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks.
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.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
Transfer learning for leveraging computer vision in infrastructure maintenance.
CoRR, 2020

Finding the Optimal Network Depth in Classification Tasks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
One-element Batch Training by Moving Window.
CoRR, 2019

LOSSGRAD: automatic learning rate in gradient descent.
CoRR, 2019

Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2019


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