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Seminars schedule » History » Version 96

Evgeniy Pavlovskiy, 2019-02-21 17:31
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h1. Seminar "Big Data Analytics"
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3 96 Evgeniy Pavlovskiy
(sorted by later first) 
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h2. Schedule 2019, spring
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Thursday, 16:20, cab 5273 NSU new building
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h3. February, 2019
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|21, #|~~time slot (25 min)~~
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~~time slot (25 min)~~
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~~time slot (25 min)~~
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~~time slot (25 min)~~|
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|28, #|~~time slot (25 min)~~
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~~time slot (25 min)~~
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~~time slot (25 min)~~
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~~time slot (25 min)~~|
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h2. Schedule 2018, fall
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Thursday, 18:10, cab 5273 NSU new building
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22 96 Evgeniy Pavlovskiy
h3. December, 2018
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|6, #2034|*Leyuan Sheng*, CycleGAN
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*Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf
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*Luchkina Alexandra*, Sobolev Training
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*Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing|
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|13, #|*Anton Kolonin*. Topics for master work.
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*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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|20, #|-*Artem Sergeev*. ArcFace-
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*Gyamerah Seth*, Fuzzy time series on financial forecasting
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-*Mulley Loic*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf-
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*Kurochkin Evgeniy*, DenseNet
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|27, #|*Julien Machet*, Machine learning top down and bottom up.
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*Ivan Rogalsky*
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*Arsentiy Melnikov* Teacher student curriculum learning https://arxiv.org/pdf/1707.00183.pdf
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*Loic Mulley*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf
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*Artem Sergeev*, ArcFace|
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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
47 64 Evgeniy Pavlovskiy
*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.
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*Lee Wonjai*. Bayesian CDF
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-*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
55 64 Evgeniy Pavlovskiy
*Munjaradzi Njera*, Attentioned based LSTM
56 67 Evgeniy Pavlovskiy
*Juan Fernando Pinzon Correa*, Rapids AI
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*Urynbassarov Mukhtar*, GAN|
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|22, #|lost|
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|29, #|*Roman Kozinets*, Siamese NN
60 64 Evgeniy Pavlovskiy
*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. October, 2018
65 88 Evgeniy Pavlovskiy
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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. 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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h2. [[Archive]]