Katedra Uczenia Maszynowego - lista publikacji

1-181 z 181.

2021

181.
Kamil Deja, Jan Dubiński, Piotr Nowak, Przemysław Spurek, Tomasz Trzciński, Sandro Wenzel
179.
Łukasz Borchmann, Filip Graliński, Michał Pietruszka
Successive Halving Top-k Operator, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2021),

2020

177.
Tomasz Konopczyński, Michał Koperski, Rafał Nowak, Piotr Semberecki, Tomasz Trzciński
Plugin Networks for Inference under Partial Evidence, IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION [WACV], (2020),
176.
Kubica-Misztal Aleksandra , Martyna Durak-Kozica, Marcin Hartel, Krzysztof Misztal, Agnieszka Pocha, Michał Wątor
175.
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models, EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS [ESANN], (2020), 6
174.
Marcin Przewięźlikowski, Łukasz Struski, Marek Śmieja
Estimating conditional density of missing values using deep Gaussian mixture model, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING [ICONIP] vol. Lecture Notes in Computer Science volume 12534 (2020), 220-231
173.
Mario A.T. Figueiredo, Mateusz Juda, Maciej Kołomycki, Łukasz Struski, Marek Śmieja
Iterative Imputation of Missing Data using Auto-encoder Dynamics, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING [ICONIP] vol. Lecture Notes in Computer Science, volume 12534 (2020), 258-269
172.
Processing of Incomplete Images by (Graph) Convolutional Neural Networks, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Lecture Notes in Computer Science, volume 12533 (2020), 512-523
171.
Spatial Graph Convolutional Networks, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
170.
Non-linear ICA based on Cramer-Wold metric, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Lecture Notes in Computer Science book series (LNCS, volume 12534) (2020),
169.
Krzysztof Galias, Silviu Homoceanu, Adam Jakubowski, Henryk Michalewski, Piotr Miłoś, Błażej Osiński, Paweł Zięcina
Simulation-Based Reinforcement Learning for Real-World Autonomous Driving, IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION [ICRA], (2020),
168.
Zięba Maciej , Przemysław Spurek, Jacek Tabor, Tomasz Trzciński, Sebastian Winczowski, Maciej Zamorski
Hypernetwork approach to generating point clouds, INTERNATIONAL CONFERENCE ON MACHINE LEARNING [ICML](MAIN), (2020),
167.
166.
Yoshua Bengio, Leonard Boussioux, Maxime Chevalier-Boisvert, Bahdanau Dzmitry, David Yu-Tung Hui, Chitwan Saharia, Konrad Żołna
Combating False Negatives in Adversarial Imitation Learning, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2020), 13999-14000
165.
Leakage-Robust Classifier via Mask-Enhanced Training, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2020), 13923-13924
164.
Mario A.T. Figueiredo, Mateusz Juda, Maciej Kołomycki, Łukasz Struski, Marek Śmieja
Can auto-encoders help with filling missing data?, INTERNATIONAL CONFERENCE ON LEARNING REPRESENATION (WORKSHOP TRACK) (2020), 6
163.
Marcin Przewięźlikowski, Łukasz Struski, Marek Śmieja
Estimating conditional density of missing values using deep Gaussian mixture model, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020), 6
161.
Łukasz Borchmann, Jakub Chłędowski, Tomasz Dwojak, Filip Graliński, Michał Pietruszka
From Dataset Recycling to Multi-Property Extraction and Beyond, CONFERENCE ON COMPUTATIONAL NATURAL LANGUAGE LEARNING [CONLL] vol. Proceedings of the 24th Conference on Computational Natural Language Learning (2020),
160.
Finding the Optimal Network Depth in Classification Tasks, EUROPEAN CONFERENCE ON MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASE (PKDD AND ECML COMBINED FROM 2008) [ECML PKDD], (2020),
159.
Devansh Arpit, Kyunghyun Cho, Stanislav Fort, Krzysztof J. Geras, Stanisław Jastrzębski, Maciej Szymczak
The Break-Even Point on Optimization Trajectories of Deep Neural Networks, 8TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (2020),
157.
Olivier Bachem, Olivier Bousquet, Lasse Espeholt, Sylvain Gelly, Karol Kurach, Marcin Michalski, Anton Raichuk, Carlos Riquelme, Piotr Stańczyk, Damien Vincent, Michał Zając
Google Research Football: A Novel Reinforcement Learning Environment, PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE vol. Vol 34 No 04 (2020), 4501-4510
154.
Flow-based SVDD for anomaly detection, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
153.
Monika Brzychczy-Włoch, Adam Piekarczyk, Dawid Rymarczyk, Agnieszka Sroka-Oleksiak, Bartosz Zieliński
149.

2019

147.
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
146.
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
142.
Variational Auto-Encoders for Generating Feature-Preserving Automata, PROCEEDINGS OF NCMA 2019, BOOKS@OCG.AT (AUSTRIAN COMPUTER SOCIETY) (2019), 171-185
141.
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
140.
Tomasz Danel, Stanisław Jastrzębski, Łukasz Maziarka, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor
Molecule-Augmented Attention Transformer, NEURAL INFORMATION PROCESSING SYSTEMS (WORKSHOP TRACK) (2019),
139.
Jan Kaczmarczyk, Łukasz Maziarka, Agnieszka Pocha, Krzysztof Rataj, Michał Warchoł
Mol-CycleGAN - A Generative Model for Molecular Optimization, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 810-816
138.
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
137.
Distribution-Interpolation Trade off in Generative Models, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (2019),
134.
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),

2018

130.
Bartosz Borucki, Beata Ciszkowska-Lyson, Norbert Kapiński, Krzysztof Nowiński, Tomasz Trzciński, Jakub Zieliński
Estimating Achilles tendon healing progress with convolutional neural networks, MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION [MICCAI], (2018),
129.
Yoshua Bengio, Laurent Charlin, Rosemary Ke, Zhouhan Lin, Christopher Pal, Joelle Pineau, Alessandro Sordoni, Adam Trischler, Konrad Żołna
Focused Hierarchical RNNs for Conditional Sequence Processing, INTERNATIONAL CONFERENCE ON MACHINE LEARNING [ICML], (2018),
124.
On modeling objects using sequence of moment invariants, LECTURE NOTES IN COMPUTER SCIENCE (2018), 92-102
123.
Maciej Brzeski, Paweł Gora, Arkadiusz Klemenko, Adrian Kochański, Marcin Możejko
122.
Maciej Brzeski, Paweł Gora, Łukasz Mądry, Marcin Możejko, Łukasz Skowronek
117.
Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS vol. 31 (2018), 2719--2729
116.
Feature Selection in Texts, PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2017 vol. 578. Advances in Intelligent Systems and Computing (2018), 336-345

2017

112.
Improving the performance of neural networks in regression tasks using drawering, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2017), 2533-2538
111.
Bartłomiej Romański, Konrad Żołna
User Modeling Using LSTM Networks, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2017), 5025-5026
109.
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Stanisław Jastrzębski
Residual connections encourage iterative inference, INTERNATIONAL CONFERENCE ON LEARNING ALGORITHMS 2018 (2017),
107.
Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński
106.
Split-and-merge Tweak in Cross Entropy Clustering, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT: 16TH IFIP TC8 INTERNATIONAL CONFERENCE (2017), 193 - 204
105.
Yoshua Bengio, Bahdanau Dzmitry, Grefenstette Edward, Stanisław Jastrzębski, Vincent Pascal, Bosc Tom
Learning to Compute Word Embeddings On the Fly, MONTREAL AI SYMPOSIUM 2017 (2017),
102.
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Simon Lacoste-Julien, Tegan Maharaj
98.
Devansh Arpit, Nicolas Ballas, Aaron Courville, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Tegan Maharaj
Deep Nets Don't Learn via Memorization, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2017),
93.
R Package CEC , NEUROCOMPUTING vol. 237 (2017), 410–413

2016

88.
Szymon Nakoneczny, Marek Śmieja
Natural language processing methods in biological activity prediction, PROCEEDINGS OF ECML PKDD WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2016), 25-36
87.
Szymon Nakoneczny, Marek Śmieja, Jacek Tabor
Fast entropy clustering of sparse high dimensional binary data, PROCEEDNIGS OF IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN 2016) (2016), 2397-2404
86.
Maximum Likelihood Estimation and Optimal Coordinates, INTERNATIONAL CONFERENCE ON SYSTEMS SCIENCE, 2016 vol. Springer (2016), 3-13
85.
Clustering of Gaussian distributions, 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) vol. IEEE (2016), 3346--3353
83.
Learning to SMILE(S), INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2016),
82.
Online Extreme Entropy Machines for Streams Classification and Active Learning, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 403 (2016), 371-381

2015

78.
Probability Index of Metric Correspondence as a measure of visualization reliability, PROCEEDINGS OF ECML PKDD WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2015), 16-27
77.
Jacek Chudziak, Jacek Tabor, Józef Tabor
74.
Wojciech Czarnecki, Krzysztof Rataj
72.
Spherical Wards clustering and generalized Voronoi diagrams, PROCEEDING OF IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS vol. 36678 (2015), 10
70.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska
69.
Wojciech Czarnecki, Rafał Józefowicz

2014

55.
Przemysław Spurek, Elżbieta Zając
Metody analizy mikroskopowych obrazów warstw C-Pd, (2014), "Świat nanotechnologii. Warstwy nanokompozytowe węglowo-palladowe. Badania i technologia", Wydawnictwa Uniwersytetu Warszawskiego
54.
Alena Chaikouskaya, Przemysław Spurek, Jacek Tabor, Elżbieta Zając
A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT vol. 8838 (2014), 559-570
52.
Adaptive Active Learning as a Multi-armed Bandit Problem, FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS vol. 263 (2014), 989-990
49.
Andrzej Bojarski, Marek Śmieja, Jacek Tabor, Dawid Warszycki
47.
Renyi entropy dimension of the mixture of measures, PROCEEDINGS OF SCIENCE AND INFORMATION CONFERENCE (2014), 685-689

2013

45.
Density Invariant Detection of Osteoporosis Using Growing Neural Gas, PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2013 vol. Springer International Publishing (2013), 629-638
43.
Detection of elliptical shapes via cross-entropy clustering, PATTERN RECOGNITION AND IMAGE ANALYSIS LECTURE NOTES IN COMPUTER SCIENCE vol. 7887 (2013), 656-663
42.
Mahalanobis distance-based algorithm for ellipse growing in iris preprocessing, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT LECTURE NOTES IN COMPUTER SCIENCE vol. 8104 (2013), 158-167
40.
Weighted Approach to Projective Clustering, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT LECTURE NOTES IN COMPUTER SCIENCE vol. 8104 (2013), 367-378
39.
Jacek Tabor, Józef Tabor, Marek Żołdak
37.
Image segmentation with use of cross-entropy clustering, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 226 (2013), 403-409
36.
Przemysław Spurek, Jacek Tabor, Elżbieta Zając
Detection of Disk-Like Particles in Electron Microscopy Images, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 226 (2013), 411-417
35.

2012

31.
Appendix A: Semi-Hyperbolicity: Estimations vol. Random and Computational Dynamics 1 (2012), "Phil Diamond, Peter Kloeden, Victor Kozyakin, Alexei Pokrovskii, Semi-Hyperbolicity and Bi-Shadowing", American Institute of Mathematical Sciences
30.
Anna Mureńko, Jacek Tabor, Józef Tabor
27.
A new algorithm for rotation detection in iris pattern recognition, LECTURE NOTES IN COMPUTER SCIENCE vol. Computer Information Systems and Industrial Management, Volume 7564/2012 (2012), 135-145
25.
Krzysztof Misztal, Emil Saeed, Khalid Saeed, Jacek Tabor
Iris Pattern Recognition with a New Mathematical Model to its Rotation Detection vol. 1 (2012), "Biometrics and Kansei Engineering", Springer Verlag (połaczony z Kluwer Academic Publishing)
24.
Approximately Midconvex Functions vol. Springer Optimization and Its Applications (2012), "Functional Equations in Mathematical Analysis", Springer Verlag (połaczony z Kluwer Academic Publishing)

2011

22.
21.
Anna Mureńko, Jacek Tabor, Józef Tabor
20.
Tomasz Kułaga, Jacek Tabor

2010

18.
Jacek Tabor, Józef Tabor, Marek Żołdak
17.
Adam Najdecki, Jacek Tabor, Józef Tabor
16.
Jacek Tabor, Józef Tabor, Marek Żołdak

2009

14.
Jacek Mrowiec, Jacek Tabor, Józef Tabor
Approximately midconvex functions vol. International Series of Numerical Mathematics 157 (2009), "Inequalities and Applications", Birkhäuser
13.
Anna Mureńko, Jacek Tabor, Józef Tabor
12.
11.
Jacek Tabor, Józef Tabor
10.
Jacek Tabor, Józef Tabor

2008

2002

4.
Bogdan Batko, Zygfryd Kominek, Jacek Tabor

1999