Katedra Uczenia Maszynowego - lista publikacji
Nadjednostka:
1-23 z 23.
2017
23.
Krzysztof Misztal, Paweł Morkisz, Agnieszka Pocha
Short review of dimensionality reduction methods for failure detection, Schedae Informaticae vol. 26 (2017), 69-78
22.
Konrad Żołna
Improving the performance of neural networks in regression tasks using drawering, IEEE International Joint Conference on Neural Networks [IJCNN], (2017), 2533-2538
21.
Bartłomiej Romański, Konrad Żołna
User Modeling Using LSTM Networks, National Conference of the American Association for Artificial Intelligence [AAAI], (2017), 5025-5026
20.
Towards Learning Word Representation, Schedae Informaticae vol. 25 (2017), 103–115
19.
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Stanisław Jastrzębski
Residual connections encourage iterative inference, International Conference On Learning Algorithms 2018 (2017),
18.
Bernhard C. Geiger, Marek Śmieja
Semi-supervised cross-entropy clustering with information bottleneck constraint, Information Sciences vol. 421 (2017), 245-271
17.
Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński
Deep learning approach to bacterial colony classification, PLoS One vol. 12 (9) (2017), 1-14
16.
Split-and-merge Tweak in Cross Entropy Clustering, Computer Information Systems and Industrial Management: 16th Ifip Tc8 International Conference (2017), 193 - 204
15.
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),
14.
13.
Regression SVM for incomplete data, Schedae Informaticae vol. 26 (2017), 23-35
12.
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Simon Lacoste-Julien, Tegan Maharaj
11.
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak
10.
Rafał Kafel, Marek Śmieja, Dawid Warszycki
9.
Uniform Cross-entropy Clustering, Schedae Informaticae vol. 25 (2017), 117-126
8.
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),
7.
Andrzej Bojarski, Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska
6.
ICA based on asymmetry, Pattern Recognition vol. 67 (2017), 230-244
5.
Active Function Cross-Entropy Clustering, Expert Systems with Applications vol. 72 (2017), 49–66
4.
3.
R Package CEC , Neurocomputing vol. 237 (2017), 410–413
2.
General Split Gaussian Cross-Entropy Clustering, Expert Systems with Applications vol. 68 (2017), 58–68