Daniel Marczak

According to our database, Daniel Marczak authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery.

Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

Proceedings of the Computer Vision - ECCV 2024, 2024

MAGMAX: Leveraging Model Merging for Seamless Continual Learning.

Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert

Proceedings of the Computer Vision - ECCV 2024, 2024

Revisiting Supervision for Continual Representation Learning.

Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Generalized Continual Category Discovery.

Daniel Marczak, Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

CoRR, 2023

2022

Logarithmic Continual Learning.

Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski

IEEE Access, 2022

Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning.

Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning.

Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski

CoRR, 2021

BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning.

Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski

Proceedings of the International Joint Conference on Neural Networks, 2021