Scientific workshop "Big Data Analytics"

25 minutes for one presentation.
Each student has to present a research.

Opened list of cutting-edge topics:
|_.Topic|_.Link|_.Reporter|
|ResNet, ResNeXt| * ResNet, ResNeXt - *Petr Gusev* - K. He, X. Zhang, S. Ren, and J. Sun. Deep Residual Learning
for Image Recognition. In CVPR, 2016|*Petr Gusev*| 2016
|Dynamic * "Dynamic Word Embeddings|https://arxiv.org/abs/1804.07983| Embeddings":https://arxiv.org/abs/1804.07983 - *Andrey Zubkov*|
| Capsule NN|Paper: Zubkov*
* "Capsule NN" - *Klim Markelov*, paper: https://arxiv.org/pdf/1710.09829, presentation: https://cedar.buffalo.edu/~srihari/CSE676/9.12%20CapsuleNets.pdf|*Klim Markelov*| https://cedar.buffalo.edu/~srihari/CSE676/9.12%20CapsuleNets.pdf
| MixUp | https://arxiv.org/pdf/1710.09412.pdf, * "MixUp":https://arxiv.org/pdf/1710.09412.pdf - *Vitaly Poteshkin* ("AdaMixUp":https://arxiv.org/pdf/1809.02499.pdf in addition)| *Vitaly Poteshkin* | addition)
| * Variational Autoencoders || - *Anastasia Malysheva*| Malysheva*
| * ArcFace |||
| -
* UMAP | - McInnes, Leland and John Healy (2018). “UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction”. In: ArXiv e-prints. arXiv: "1802.03426 [stat.ML]":http://arxiv.org/abs/1802.03426|| [stat.ML]":http://arxiv.org/abs/1802.03426
| * Siamese NN||| NN -
| * Quantum Semantics||| Semantics -
* MobileNN
| MobileNN|||
| * Triplet Loss||| Loss
| Sobolev Training | https://arxiv.org/pdf/1706.04859|| * "Sobolev Training":https://arxiv.org/pdf/1706.04859
|Rapids AI |http://rapids.ai/ || * "Rapids AI":http://rapids.ai/ -