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Meeting #2028

closed

Scientific seminar 2018-10-18 Planning the semester

Added by Evgeniy Pavlovskiy almost 7 years ago. Updated over 6 years ago.

Status:
Closed
Priority:
Middle (Средний)
Start date:
2018-10-18
Due date:
2018-10-18
% Done:

100%

Spent time:
Time:
18:25 - 18:40
Place:
5273
Participants (Wiki):

Gusev, Zubkov, Poteshkin, Markelov, Sivaswamy, Sheng, Siyoto, Melnikov, Kumar, Munyaradzi, Chakrabarthy, Tsvaki, Razizadeh, Kozinets, Rogalskiy, Tagirova, Lee, Burgeot, Mulley, Pavlovskiy

Participants:
 
Change status:


Description

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

Opened list of cutting-edge topics:
Topic Link Reporter Scheduled
ResNet, ResNeXt K. He, X. Zhang, S. Ren, and J. Sun. Deep Residual Learning for Image Recognition. In CVPR, 2016 Petr Gusev 1-nov
Dynamic Word Embeddings https://arxiv.org/abs/1804.07983 Andrey Zubkov 25-oct
Capsule NN Paper: https://arxiv.org/pdf/1710.09829, presentation: https://cedar.buffalo.edu/~srihari/CSE676/9.12%20CapsuleNets.pdf Klim Markelov 25-oct
MixUp https://arxiv.org/pdf/1710.09412.pdf, (AdaMixUp in addition) Vitaly Poteshkin 25-oct
Variational Autoencoders https://arxiv.org/pdf/1312.6114.pdf Anastasia Malysheva 1-nov
ArcFace Sergeyev Artem 13-Dec
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] Burgeot Guillaume -
Siamese NN Roman Kozinets 29-nov
Quantum Semantics Chakrabathy Anik 1-nov
MobileNN Akilesh Sivaswamy 8-nov
Triplet Loss https://arxiv.org/pdf/1503.03832.pdf Mulley Loïc -
Sobolev Training https://arxiv.org/pdf/1706.04859 Luchkina Anastasia 3-dec
Rapids AI http://rapids.ai/ Juan Fernando Pinzon Correa 15-nov
Attentioned based LSTM https://www.aclweb.org/anthology/D16-1058 Munyaradzi Njera 15-nov
CycleGAN Leyuan Sheng 3-dec
RNN for Speech Recognition ? https://www.cs.toronto.edu/~graves/icassp_2013.pdf Yakovenko Olga 8-nov
Bayesian Conditional Density Filtering ? https://arxiv.org/abs/1401.3632 Lee Wonjae 8-nov
Deep Learning in Mobile and Wireless Networks: a Survey https://arxiv.org/pdf/1803.04311.pdf Ravi Kumar 15-nov
tSNE Maaten L., Hinton G. Visualizing data using t-SNE //Journal of machine learning research. – 2008. – Т. 9. – №. Nov. – С. 2579-2605. http://www.jmlr.org/papers/v9/vandermaaten08a.html Razizadeh Omid 29-nov
Natural language based financial forecasting: a survey Xing F. Z., Cambria E., Welsch R. E. Natural language based financial forecasting: a survey //Artificial Intelligence Review. – 2018. – Т. 50. – №. 1. – С. 49-73. Tsvaki Jetina 29-nov
Super-Resolution Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network http://openaccess.thecvf.com/content_cvpr_2017/papers/Ledig_Photo-Realistic_Single_Image_CVPR_2017_paper.pdf Siyoto Owen 29-nov
LIME (local interpretable model-agnostic explanations) Ribeiro M. T., Singh S., Guestrin C. Why should i trust you?: Explaining the predictions of any classifier //Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. – ACM, 2016. – С. 1135-1144. https://arxiv.org/pdf/1602.04938v1.pdf Tagirova Elizaveta 3-dec
XNOR-Net https://arxiv.org/pdf/1603.05279.pdf Potapova Polina 8-nov
Teacher student curriculum learning Teacher student curriculum learning. https://arxiv.org/pdf/1707.00183.pdf Melnikov Arsentiy 27-Dec
Prediction of enhancer-promoter interactions via natural language processing https://link.springer.com/content/pdf/10.1186/s12864-018-4459-6.pdf Fishman Daniil 3-Dec
GAN Urynbassarov Mukhtar 15-nov
Minimizing finite sums with the stochastic average gradient 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 Evgeniy Averyanov 13-Dec
Fuzzy dual-factor time-series for stock index forecasting. https://www.sciencedirect.com/science/article/pii/S095741740700437X Gyamerah Seth 20-Dec

These students still didn't selected a paper to report:
1st year students

  1. Rogalsky Ivan
  2. Machet Julien

2nd year students

  1. Kurochkin Evgeniy
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