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Daniel Marczak
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2020 – today
- 2024
- [i6]Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert:
MagMax: Leveraging Model Merging for Seamless Continual Learning. CoRR abs/2407.06322 (2024) - 2023
- [i5]Daniel Marczak, Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski:
Generalized Continual Category Discovery. CoRR abs/2308.12112 (2023) - [i4]Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski:
Revisiting Supervision for Continual Representation Learning. CoRR abs/2311.13321 (2023) - 2022
- [j1]Wojciech Masarczyk
, Pawel Wawrzynski
, Daniel Marczak
, Kamil Deja
, Tomasz Trzcinski
:
Logarithmic Continual Learning. IEEE Access 10: 117001-117010 (2022) - [c2]Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak
, Tomasz Trzcinski:
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. IJCAI 2022: 2902-2908 - [i3]Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski:
Logarithmic Continual Learning. CoRR abs/2201.06534 (2022) - 2021
- [c1]Kamil Deja
, Pawel Wawrzynski, Daniel Marczak
, Wojciech Masarczyk, Tomasz Trzcinski:
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. IJCNN 2021: 1-8 - [i2]Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski:
Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. CoRR abs/2106.12196 (2021) - 2020
- [i1]Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski:
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. CoRR abs/2011.14960 (2020)
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