Seminars schedule » History » Version 96
Version 95 (Evgeniy Pavlovskiy, 2019-02-21 17:27) → Version 96/552 (Evgeniy Pavlovskiy, 2019-02-21 17:31)
h1. Seminar "Big Data Analytics"
(sorted by later first)
h2. Schedule 2019, spring 2018, fall
Thursday, 16:20, 18:10, cab 5273 NSU new building
h3. February, 2019 September, 2018
|21, #|~~time slot (25 min)~~ 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.
~~time slot (25 min)~~ # Savostyanov A.N.
~~time slot (25 min)~~ # Duchkov A.
~~time slot (25 min)~~| # Golovin S.
|28, #|~~time slot (25 min)~~ # Pavlovskiy E.
~~time slot (25 min)~~ # Kohanovskiy A.
~~time slot (25 min)~~ # Sviridenko D.
~~time slot (25 min)~~|
h2. Schedule 2018, fall # Redyuk A.
Thursday, 18:10, cab 5273 NSU new building # Vityaev E.
h3. December, October, 2018
|6, #2034|*Leyuan Sheng*, CycleGAN |18, #2028|Planning the semester|
*Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf |25, #|*Klim Markelov*, Capsule NN
*Luchkina Alexandra*, Sobolev Training *Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983
*Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing| *Vitaly Poteshkin*, MixUp
|13, #|*Anton Kolonin*. Topics for master work.
*Evgeniy Averyanov*, Schmidt, Mark. Minimizing finite sums with Planning 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| 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. October, December, 2018
|18, #2028|Planning the semester| |6, #2034|*Leyuan Sheng*, CycleGAN
|25, #|*Klim Markelov*, Capsule NN *Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf
*Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983 *Luchkina Alexandra*, Sobolev Training
*Vitaly Poteshkin*, MixUp *Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing|
Planning |13, #|*Anton Kolonin*. Topics for master work.
*Evgeniy Averyanov*, Schmidt, Mark. Minimizing finite sums with the semester|
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. 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
# Savostyanov A.N. *Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf
# Duchkov A. *Lee Wonjai*. Bayesian CDF (continue with example)
# Golovin S. |
# Pavlovskiy E. |20, #|-*Artem Sergeev*. ArcFace-
# Kohanovskiy A. *Gyamerah Seth*, Fuzzy time series on financial forecasting
# Sviridenko D. -*Mulley Loic*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf-
# Redyuk A. *Kurochkin Evgeniy*, DenseNet
# Vityaev E. |
|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|
h2. Previous seminars
h2. [[Archive]]
(sorted by later first)
h2. Schedule 2019, spring 2018, fall
Thursday, 16:20, 18:10, cab 5273 NSU new building
h3. February, 2019 September, 2018
|21, #|~~time slot (25 min)~~ 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.
~~time slot (25 min)~~ # Savostyanov A.N.
~~time slot (25 min)~~ # Duchkov A.
~~time slot (25 min)~~| # Golovin S.
|28, #|~~time slot (25 min)~~ # Pavlovskiy E.
~~time slot (25 min)~~ # Kohanovskiy A.
~~time slot (25 min)~~ # Sviridenko D.
~~time slot (25 min)~~|
h2. Schedule 2018, fall # Redyuk A.
Thursday, 18:10, cab 5273 NSU new building # Vityaev E.
h3. December, October, 2018
|6, #2034|*Leyuan Sheng*, CycleGAN |18, #2028|Planning the semester|
*Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf |25, #|*Klim Markelov*, Capsule NN
*Luchkina Alexandra*, Sobolev Training *Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983
*Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing| *Vitaly Poteshkin*, MixUp
|13, #|*Anton Kolonin*. Topics for master work.
*Evgeniy Averyanov*, Schmidt, Mark. Minimizing finite sums with Planning 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| 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. October, December, 2018
|18, #2028|Planning the semester| |6, #2034|*Leyuan Sheng*, CycleGAN
|25, #|*Klim Markelov*, Capsule NN *Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf
*Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983 *Luchkina Alexandra*, Sobolev Training
*Vitaly Poteshkin*, MixUp *Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing|
Planning |13, #|*Anton Kolonin*. Topics for master work.
*Evgeniy Averyanov*, Schmidt, Mark. Minimizing finite sums with the semester|
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. 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
# Savostyanov A.N. *Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf
# Duchkov A. *Lee Wonjai*. Bayesian CDF (continue with example)
# Golovin S. |
# Pavlovskiy E. |20, #|-*Artem Sergeev*. ArcFace-
# Kohanovskiy A. *Gyamerah Seth*, Fuzzy time series on financial forecasting
# Sviridenko D. -*Mulley Loic*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf-
# Redyuk A. *Kurochkin Evgeniy*, DenseNet
# Vityaev E. |
|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|
h2. Previous seminars
h2. [[Archive]]