Meeting #2054
Updated by Evgeniy Pavlovskiy over 6 years ago
h1. Requirements 25 minutes for one presentation. Main requirements to presentation: * to be prepared in LaTeX, * to be short, understandable, clear and convinient, * no more than 20 minutes for content deliver and 5 for questions, * references on the last slide h1. Topics Each student has to present a research and part of his thesis. Opened list of cutting-edge topics: |_.Topic|_.Link|_.Reporter|_.Scheduled| |Manifold MixUp| Manifold Mixup: Better Representations by Interpolating Hidden States. URL: https://arxiv.org/pdf/1806.05236v4 |-| | |SphereFace| SphereFace: Deep Hypersphere Embedding for Face Recognition URL: https://arxiv.org/pdf/1704.08063.pdf|-| | |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||| | DisCoCat model| Grefenstette E. Category-theoretic quantitative compositional distributional models of natural language semantics //arXiv preprint arXiv:1311.1539. – 2013. URL: https://arxiv.org/abs/1311.1539|*Elizaveta Tagirova*|Feb-28| |DisCoCat toy model|Gogioso S. A Corpus-based Toy Model for DisCoCat //arXiv preprint arXiv:1605.04013. – 2016. URL: https://arxiv.org/pdf/1605.04013.pdf|*Anik Chakrabarthy*|Mar-14| |Triplet Loss|https://arxiv.org/pdf/1503.03832.pdf|*Alexandra Luchkina*|Mar-7| |Style transfer SotA (state-of-the-art)| A Style-Based Generator Architecture for Generative Adversarial Networks. URL: https://arxiv.org/abs/1812.04948 |*Klim Markelov* | Mar-14| |Pixel Recurrent Neural Networks | Oord A., Kalchbrenner N., Kavukcuoglu K. Pixel recurrent neural networks //arXiv preprint arXiv:1601.06759. – 2016. URL:https://arxiv.org/abs/1601.06759|*Omid Razizadeh*|Mar-14| |Performance of Word Embeddings|review and experience|*Andrey Zubkov*|Mar-7| |CosFace|Wang H. et al. Cosface: Large margin cosine loss for deep face recognition //Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. – 2018. – С. 5265-5274. URL: https://arxiv.org/pdf/1801.09414.pdf|*Akilesh Sivaswamy*|Mar-7| |CNN for speech command recognition. Review||*Roman Kozinets*|Apr-4| |Text clustering | Xu J. et al. Self-taught convolutional neural networks for short text clustering //Neural Networks. – 2017. – Т. 88. – С. 22-31. URL: https://arxiv.org/abs/1701.00185 |*Evgeniy Kurochkin*|Mar-7| |A Quantum-Theoretic Approach to Distributional Semantics|Blacoe W., Kashefi E., Lapata M. A quantum-theoretic approach to distributional semantics //Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. – 2013. – С. 847-857. URL: http://www.aclweb.org/anthology/N13-1105|*Ivan Rogalsky*|Apr-4| |State of the art Deep Learning - Intelligent Network Traffic Control Systems|State of the art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems. URL: https://ieeexplore.ieee.org/document/7932863 |*Ravi Kumar*|Mar-28| |Solving the Quantum Many-Body problem with ANN| Carleo G., Troyer M. Solving the quantum many-body problem with artificial neural networks //Science. – 2017. – Т. 355. – №. 6325. – С. 602-606. URL: https://arxiv.org/pdf/1606.02318|*Munjaradzi Njera*|Mar-28| |Predicting Oil Movement in a development System Using Deep Latent Dynamic Models|URL: Video: https://www.youtube.com/watch?v=N3iV-F4aqLA? Slieds: https://bayesgroup.github.io/bmml_sem/2018/Temirchev_Metamodelling.pdf|*Jetina Tsvaki*|Apr-18| |Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures| Yampolskiy R. V., Spellchecker M. S. Artificial Intelligence Safety and Cybersecurity: A Timeline of AI Failures (2016) //arXiv preprint arXiv:1610.07997. URL: https://arxiv.org/abs/1610.07997|*Thomas Vialars*|| |Review on master topic||*Seth Gyamerah*|?| |Using ML for Network Intrusion Detection|Sommer R., Paxson V. Outside the closed world: On using machine learning for network intrusion detection //2010 IEEE symposium on security and privacy. – IEEE, 2010. – С. 305-316. URL: https://www.computer.org/csdl/proceedings/sp/2010/6894/00/05504793.pdf|*Dylan Bersans*|Apr-18| |Tacotron 2|Shen J. et al. Natural tts synthesis by conditioning wavenet on mel spectrogram predictions //2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). – IEEE, 2018. – С. 4779-4783. URL: https://arxiv.org/pdf/1712.05884.pdf|*Leyuan Sheng*|Apr-11| h1. Topics of master thesis Opened list of reports on master thesis (statement of work, review, and results): |_.Reporter|_.Topic|_.Scheduled| |\3=.1st year students| |1 Chakrabarti |Chakrabarti Anik | |May-16| |2 Razizadeh |Razizadeh Omid | |May-16| |3 Siyoto |Siyoto Owen | || |4 Munyaradzi |Munyaradzi Njera | |May-23| |5 Averyanov |Averyanov Evgeniy | || |6 Kozinets |Kozinets Roman | |May-16| |7 Melnikov |Melnikov Arsentiy | || |8 Rogalsky |Potapova Polina | || |Rogalsky Ivan |Open System Categorical Quantum Semantics in NLP (master thesis, review) |Apr-18| |9 Urynbassarov |Urynbassarov Mukhtar | || |10 Yakovenko |Yakovenko Olga | || |11 Tagirova |Tagirova Elizaveta | || |12 Tsvaki |Tsvaki Jetina | |May-16| |13 Ravi |Ravi Kumar | |Apr-18| |\3=.2st year students| |1 Leyuan |Leyuan Sheng | |Apr-25 | |2 Akilesh |Akilesh Sivaswamy | |Apr-4 | |3 Juan |Juan Fernando Pinzon Correa | |Apr-11 | |4 Gyamerah Seth |Gyamerah Seth | | | |5 Фишман |Фишман Даниил Семенович | | | |6 Гусев |Гусев Петр Андреевич | | | |7 Курочкин |Курочкин Евгений Александрович | |Apr-25 | |8 Лучкина |Лучкина Александра Дмитриевна | |Apr-25 | |9 Малышева |Малышева Анастасия Дмитриевна | | | |10 Сергеев |Сергеев Артем Евгеньевич | | | |11 Зубков |Зубков Андрей Викторович | |Apr-25 | |12 Потешкин |Потешкин Виталий Сергеевич | | | |13 Маркелов |Маркелов Клим Васильевич | |Apr-11 | |14 Тусупова |Тусупова Мадина Джамалбековна | | | |15 Маринов |Маринов Андрей Игоревич | | | h1. At fault These students still didn't selected a paper to report or doesn't assigned to a time slot: 1st year students * someone 2nd year students * someone