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Seminars schedule » History » Version 81

Evgeniy Pavlovskiy, 2018-11-10 11:03

1 1 Evgeniy Pavlovskiy
h1. Seminar "Big Data Analytics"
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h2. Schedule 2018, fall
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Thursday, 18:10, cab 5273 NSU new building
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h3. September, 2018
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1. 2nd year students coursework pre-defence: (1) #2008, (2) 14.09.2018.
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2. Scientific advisors presentations: https://trello.com/b/ZlMTMsS8/bdaai-scientific-topics
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# Taylakov D.
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# Savostyanov A.N.
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# Duchkov A.
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# Golovin S.
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# Pavlovskiy E.
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# Kohanovskiy A.
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# Sviridenko D.
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# Redyuk A.
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# Vityaev E.
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h3. October, 2018
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|18, #2028|Planning the semester|
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|25, #|*Klim Markelov*, Capsule NN
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*Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983
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*Vitaly Poteshkin*, MixUp
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Planning the semester|
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h3. November, 2018
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|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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*Anastasia Malysheva*, Variational Autoencoders
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*Anik Chakrabarthy*. Quantum Semantics
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~~25 min slot~~|
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|8, #|*Akilesh Sivawamy*, Mobile NN.
37 64 Evgeniy Pavlovskiy
*Lee Wonjai*. Bayesian CDF
38 64 Evgeniy Pavlovskiy
-*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf- (moved to December)
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*Olga Yakovenko*, RNN for Speech Recognition|
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|15, #|*Ravi Kumar*, Deep Learning in Mobile and Wireless Networks: a Survey
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*Munjaradzi Njera*, Attentioned based LSTM
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*Juan Fernando Pinzon Correa*, Rapids AI
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*Urynbassarov Mukhtar*, GAN|
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|29, #|*Roman Kozinets*, Siamese NN
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*Omid Razizadeh*, tSNE
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*Jetina Tsvaki*, Natural language based financial forecasting: a survey
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*Owen Siyoto*, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network|
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h3. December, 2018
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|6, #|*Leyuan Sheng*, CycleGAN
52 56 Evgeniy Pavlovskiy
*Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf
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*Luchkina Anastasia*, Sobolev Training
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*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
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*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf
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*Lee Wonjai*. Bayesian CDF (continue with example)
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~~25 min slot~~|
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|20, #|~~25 min slot~~
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~~25 min slot~~
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~~25 min slot~~
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~~25 min slot~~|
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h2. Previous seminars
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