Seminars schedule » History » Version 84
Evgeniy Pavlovskiy, 2018-11-22 17:42
1 | 1 | Evgeniy Pavlovskiy | h1. Seminar "Big Data Analytics" |
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3 | 52 | Evgeniy Pavlovskiy | h2. Schedule 2018, fall |
4 | Thursday, 18:10, cab 5273 NSU new building |
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6 | 54 | Evgeniy Pavlovskiy | h3. September, 2018 |
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8 | 1. 2nd year students coursework pre-defence: (1) #2008, (2) 14.09.2018. |
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10 | 2. Scientific advisors presentations: https://trello.com/b/ZlMTMsS8/bdaai-scientific-topics |
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12 | # Taylakov D. |
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13 | # Savostyanov A.N. |
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14 | # Duchkov A. |
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15 | # Golovin S. |
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16 | # Pavlovskiy E. |
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17 | # Kohanovskiy A. |
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18 | # Sviridenko D. |
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19 | # Redyuk A. |
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20 | # Vityaev E. |
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22 | h3. October, 2018 |
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24 | |18, #2028|Planning the semester| |
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25 | |25, #|*Klim Markelov*, Capsule NN |
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26 | *Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983 |
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27 | *Vitaly Poteshkin*, MixUp |
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28 | 1 | Evgeniy Pavlovskiy | Planning the semester| |
29 | 69 | Evgeniy Pavlovskiy | |
30 | h3. November, 2018 |
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31 | 68 | Evgeniy Pavlovskiy | |
32 | |1, #|*Petr Gusev*. ResNet, ResNeXt K. He, X. Zhang, S. Ren, and J. Sun. Deep Residual Learning for Image Recognition. In CVPR, 2016 |
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33 | 54 | Evgeniy Pavlovskiy | *Anastasia Malysheva*, Variational Autoencoders |
34 | *Anik Chakrabarthy*. Quantum Semantics |
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35 | ~~25 min slot~~| |
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36 | |8, #|*Akilesh Sivawamy*, Mobile NN. |
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37 | 64 | Evgeniy Pavlovskiy | *Lee Wonjai*. Bayesian CDF |
38 | -*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf- (moved to December) |
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39 | 65 | Evgeniy Pavlovskiy | *Olga Yakovenko*, RNN for Speech Recognition| |
40 | 1 | Evgeniy Pavlovskiy | |15, #|*Ravi Kumar*, Deep Learning in Mobile and Wireless Networks: a Survey |
41 | 64 | Evgeniy Pavlovskiy | *Munjaradzi Njera*, Attentioned based LSTM |
42 | 77 | Evgeniy Pavlovskiy | *Juan Fernando Pinzon Correa*, Rapids AI |
43 | 74 | Evgeniy Pavlovskiy | *Urynbassarov Mukhtar*, GAN| |
44 | 1 | Evgeniy Pavlovskiy | |29, #|*Roman Kozinets*, Siamese NN |
45 | 64 | Evgeniy Pavlovskiy | *Omid Razizadeh*, tSNE |
46 | 67 | Evgeniy Pavlovskiy | *Jetina Tsvaki*, Natural language based financial forecasting: a survey |
47 | 75 | Evgeniy Pavlovskiy | *Owen Siyoto*, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| |
48 | 62 | Evgeniy Pavlovskiy | |
49 | 59 | Evgeniy Pavlovskiy | h3. December, 2018 |
50 | 64 | Evgeniy Pavlovskiy | |
51 | |6, #|*Leyuan Sheng*, CycleGAN |
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52 | 56 | Evgeniy Pavlovskiy | *Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf |
53 | 72 | Evgeniy Pavlovskiy | *Luchkina Anastasia*, Sobolev Training |
54 | 58 | Evgeniy Pavlovskiy | *Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing| |
55 | 80 | Evgeniy Pavlovskiy | |13, #|*Evgeniy Averyanov*, Schmidt, Mark. Minimizing finite sums with the stochastic average gradient / M. Schmidt, N. Le Roux, F. Bach // Mathematical Programming. — 2017. — Vol. 162(1). — P. 83–112. — URL: https://link.springer.com/article/10.1007/s10107-016-1030-6 |
56 | 70 | Evgeniy Pavlovskiy | *Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf |
57 | 72 | Evgeniy Pavlovskiy | *Lee Wonjai*. Bayesian CDF (continue with example) |
58 | 83 | Evgeniy Pavlovskiy | *Artem Sergeev*. ArcFace| |
59 | 84 | Evgeniy Pavlovskiy | |20, #|Gyamerah Seth |
60 | Mulley Loic |
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61 | Kurochkin Evgeniy |
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62 | Luchkina Alexandra| |
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63 | 81 | Evgeniy Pavlovskiy | |
64 | h2. Previous seminars |
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66 | 82 | Evgeniy Pavlovskiy | [[Archive]] |