1 citations · 1 across the 3 of their papers we have counts for
4 papers
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks
Maciej A. Czyzewski, Daniel Nowak, Kamil Piechowiak
Transfer learning is a popular technique for improving the performance of neural networks. However, existing methods are limited to transferring parameters between networks with sa…
Transfer Learning Between Different Architectures Via Weights Injection
Maciej A. Czyzewski
This work presents a naive algorithm for parameter transfer between different architectures with a computationally cheap injection technique (which does not require data). The prim…
batchboost: regularization for stabilizing training with resistance to underfitting & overfitting
Maciej A. Czyzewski
Overfitting & underfitting and stable training are an important challenges in machine learning. Current approaches for these issues are mixup, SamplePairing and BC learning. In our…
Chessboard and chess piece recognition with the support of neural networks
Maciej A. Czyzewski, Artur Laskowski, Szymon Wasik
Chessboard and chess piece recognition is a computer vision problem that has not yet been efficiently solved. However, its solution is crucial for many experienced players who wish…