Seminars schedule » History » Revision 94
Revision 93 (Evgeniy Pavlovskiy, 2018-12-25 18:10) → Revision 94/552 (Evgeniy Pavlovskiy, 2019-02-19 15:17)
h1. Seminar "Big Data Analytics" h2. Schedule 2018, fall Thursday, 18:10, cab 5273 NSU new building h3. September, 2018 1. 2nd year students coursework pre-defence: (1) #2008, (2) 14.09.2018. 2. Scientific advisors presentations: https://trello.com/b/ZlMTMsS8/bdaai-scientific-topics # Taylakov D. # Savostyanov A.N. # Duchkov A. # Golovin S. # Pavlovskiy E. # Kohanovskiy A. # Sviridenko D. # Redyuk A. # Vityaev E. h3. October, 2018 |18, #2028|Planning the semester| |25, #|*Klim Markelov*, Capsule NN *Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983 *Vitaly Poteshkin*, MixUp Planning the semester| h3. November, 2018 |1, #|*Petr Gusev*. ResNet, ResNeXt K. He, X. Zhang, S. Ren, and J. Sun. Deep Residual Learning for Image Recognition. In CVPR, 2016 *Anastasia Malysheva*, Variational Autoencoders *Anik Chakrabarthy*. Quantum Semantics ~~25 min slot~~| |8, #|*Akilesh Sivawamy*, Mobile NN. *Lee Wonjai*. Bayesian CDF -*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf- (moved to December) *Olga Yakovenko*, RNN for Speech Recognition| |15, #|*Ravi Kumar*, Deep Learning in Mobile and Wireless Networks: a Survey *Munjaradzi Njera*, Attentioned based LSTM *Juan Fernando Pinzon Correa*, Rapids AI *Urynbassarov Mukhtar*, GAN| |22, #|lost| |29, #|*Roman Kozinets*, Siamese NN *Omid Razizadeh*, tSNE *Jetina Tsvaki*, Natural language based financial forecasting: a survey *Owen Siyoto*, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| h3. December, 2018 |6, #2034|*Leyuan Sheng*, CycleGAN *Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf *Luchkina Alexandra*, Sobolev Training *Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing| |13, #|*Anton Kolonin*. Topics for master work. *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 *Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf *Lee Wonjai*. Bayesian CDF (continue with example) | |20, #|-*Artem Sergeev*. ArcFace- *Gyamerah Seth*, Fuzzy time series on financial forecasting -*Mulley Loic*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf- *Kurochkin Evgeniy*, DenseNet | |27, #|*Julien Machet*, Machine learning top down and bottom up. *Ivan Rogalsky* *Arsentiy Melnikov* Teacher student curriculum learning https://arxiv.org/pdf/1707.00183.pdf *Loic Mulley*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf *Artem Sergeev*, ArcFace| h3. February, 2019 |21, #|~~time slot (25 min)~~ ~~time slot (25 min)~~ ~~time slot (25 min)~~ ~~time slot (25 min)~~| |28, #|~~time slot (25 min)~~ ~~time slot (25 min)~~ ~~time slot (25 min)~~ ~~time slot (25 min)~~| h2. Previous seminars [[Archive]]