Katedra Uczenia Maszynowego - lista publikacji

1-18 z 18.

2019

18.
Stanisław Jastrzębski, Maciej A. Nowak, Jacek Tabor, Wojciech Tarnowski, Piotr Warchoł
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function, International Conference on Artificial Intelligence and Statistics [AISTATS], (2019), 10
17.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
Classifier-Agnostic Saliency Map Extraction, National Conference of the American Association for Artificial Intelligence [AAAI], (2019), 10087-10088
16.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
Adversarial framing for image and video classification, National Conference of the American Association for Artificial Intelligence [AAAI], (2019), 10077-10078
15.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
12.
Arkadiusz Czekajski, Damian Leśniak, Igor Podolak, Adam Roman, Bartosz Zieliński
Variational Auto-Encoders for Generating Feature-Preserving Automata, Proceedings of Ncma 2019, Books@ocg.at (austrian Computer Society) (2019), 171-185
11.
Set Aggregation Network as a Trainable Pooling Layer, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
10.
Tomasz Danel, Stanisław Jastrzębski, Łukasz Maziarka, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor
Molecule-Augmented Attention Transformer, Neural Information Processing Systems (workshop Track) (2019),
9.
Jan Kaczmarczyk, Łukasz Maziarka, Krzysztof Rataj, Michał Warchoł, Agnieszka Wojtuch
Mol-CycleGAN - A Generative Model for Molecular Optimization, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 810-816
8.
Sylwester Klocek, Łukasz Maziarka, Jakub Nowak, Marek Śmieja, Jacek Tabor, Maciej Wołczyk
Hypernetwork Functional Image Representation, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 496-510
7.
Damian Leśniak, Igor Podolak, Igor Sieradzki
Distribution-Interpolation Trade off in Generative Models, International Conference On Learning Representations (2019),
4.
Maciej Brzeski, Hubert Dryja, Paweł Gora, Karnas Katarzyna, Arkadiusz Klemenko, Adrian Kochański, Dawid Kopczyk, Magdalena Kukawska, Marcin Możejko, Przemysław Przybyszewski
Solving Traffic Signal Setting Problem Using Machine Learning, International Conference On Models and Technologies for Intelligent Transportation Systems (2019),