Seminars schedule » History » Version 94
Version 93 (Evgeniy Pavlovskiy, 2018-12-25 18:10) → Version 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]]
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]]