Seminar "Big Data Analytics"¶

(sorted by later first)

Schedule 2019, spring
Thursday, 16:20, cab 5212 NSU new building¶

May, 2019¶

23, #	Munjaradzi Njera Master thesis ~time slot (25 min)~ ~time slot (25 min)~ ~time slot (25 min)~
16, #	Omid Razizadeh Master Thesis Jetina Tsvaki Master thesis Roman Kozinets Master thesis (imaging) Anik Chakrabarthy Master thesis

April, 2019¶

25, #	Andray Zubkov Master thesis Evgeniy Kurochkin Master thesis Alexandra Luchkina Master thesis Leyuan Sheng Master thesis Malysheva Anastasia Master thesis
18, #	Ivan Rogalsky Open System Categorical Quantum Semantics in NLP (master thesis, review) Ravi Kumar Master thesis Jetina Tsvaki Predicting Oil Movement in a development System Using Deep Latent Dynamic Models Dylan Bersans Outside the closed world: On Using ML for Network Intrusion Detection Olga Yakovenko Course work Juan Pinzon Master thesis
11, #	Leyuan Sheng Tacotron 2 Klim Markelov Master thesis Juan Pinzon Master thesis Ravi Kumar State of the art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Malysheva Anastasia Attention is all you need https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf
4, #	Roman Kozinets CNN for speech command recognition. Review Ivan Rogalsky Quantum-Theoretic Approach in Dicstr. Semantics Akilesh Sivaswamy Master thesis Madina Tussupova Master Thesis Madina Tussupova 5.3. Wieting J., Kiela D. No Training Required: Exploring Random Encoders for Sentence Classification //arXiv preprint arXiv:1901.10444. – 2019. URL (20 min)

March, 2019¶

28, #	Ravi Kumar State of the art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Munjaradzi Njera Human-level control through deep reinforcement learning Thomas Vialars Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures Petr Gusev MXNet Petr Gusev Master Thesis
21, #2086	Juan Pinzon Universal Language Model Fine-tuning for Text Classification Elizaveta Tagirova Master Thesis Petr Gusev MXNet Seth Gyamerah Understanding consumer behavior
14, #2076	Omid Razizadeh Pixel Recurrent Neural Networks. Klim Markelov A Style-Based Generator Architecture for Generative Adversarial Networks. Anik Chakrabarthy DisCoCat toy model Akilesh Sivaswamy CosFace
7, #2071	Andrey Zubkov Performance of Word Embeddings (previously reported) Alexandra Luchkina Triplet loss Evgeniy Kurochkin Self-Taught Convolutional Neural Networks for Short Text Clustering Olga Yakovenko BigARTM

February, 2019¶

28, #2058	Elizaveta Tagirova Universal Sentence Encoder Andrey Zubkov Neurohackathon on autism disorder: prized solution ~time slot (25 min)~ ~time slot (25 min)~
21, #2054	Vyacheslav Mukhortov Project Management Practice: teambiudling and project tasks. Evgeniy Pavlovskiy Planning of academic seminar for Spring, 2019

Schedule 2018, fall
Thursday, 18:10, cab 5273 NSU new building¶

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

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

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

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

1. Taylakov D.
2. Savostyanov A.N.
3. Duchkov A.
4. Golovin S.
5. Pavlovskiy E.
6. Kohanovskiy A.
7. Sviridenko D.
8. Redyuk A.
9. Vityaev E.

Archive¶