Seminars schedule » History » Version 401
« Previous -
Version 401/552
(diff) -
Next » -
Current version
Evgeniy Pavlovskiy, 2021-03-16 15:36
Seminar "Big Data Analytics"¶
(sorted by later first)
Schedule 2021, spring¶
Tuesday, 16:20, online: https://zoom.us/j/
June, 2021¶
| 4, | ~25 min slot~ ~25 min slot~ ~25 min slot~ ~25 min slot~ |
May, 2021¶
| 4, | Alexander Rusnak. Thesis. Svetlana Kuchuganova. Thesis. Walid. Thesis. Dinesh. Thesis. Raphael. Thesis. Maxim Kochanov. Bachelor. |
| 11, | Kirill Kalmutskiy. Thesis Sayed Mohammad. Thesis. Mikhail Rodin. Thesis. Oladotun. Thesis. Rishabt. Thesis. Mark Baushenko. Bachelor. |
| 18, | Daria Pirozhkova. Thesis Enes. Thesis Nikita. Thesis. Sergey Verbitskiy. Bachelor. Mukul. Thesis. Kaivalya. Thesis. |
| 25, | Khue Luu. Thesis. Alexey Korolev. Thesis Mikhail Liz. Thesis. Watana Pongsapas. Paper. Watana Pongsapas. Thesis. Alix. Thesis. |
April, 2021¶
| 6, | [Optional] Data Scientist - values and functions of a professional |
| 13, | Sergey Verbitskiy. Paper. Oladotun. Paper. Rishabh. Paper. Mark Baushenko. Paper. Dinesh. Paper. Maria. Thesis. Andrey Yashkin. Paper. |
| 20 | Daria Pirozhkova. Paper Kirill Kalmutskiy. Paper. Alexey Korolev. Paper. Mikhail Liz. Paper. Sayed Mohammad. Paper. Mikhail Rodin. Paper. Kozinets Roman. Thesis. |
| 27, | Hami. Thesis Nikita Nikolaev. Paper. Mukul. Paper. Kaivalya. Paper. Raphael. Paper. Sergey Berezin. Thesis. |
March, 2021¶
| 2, | Svetlana Kuchuganova. Audio Super Resolution using Neural Networks link: https://arxiv.org/abs/1708.00853v1, reproducible:https://github.com/kuleshov/audio-super-res. Hami Ismail. TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images link: https://arxiv.org/abs/2001.01469. |
||
| 9, | Rohan Rapthore. Enriching Pre-trained Language Model with Entity Information for Relation Classification link: https://arxiv.org/abs/1905.08284, reproducible:https://github.com/wang-h/bert-relation-classification. Alexander Rusnak. The Effectiveness of Data Augmentation in Image Classification using Deep Learning link: https://arxiv.org/pdf/1712.04621.pdf, reproducible: https://github.com/kandluis/nn-data-augmentation. Maria Matveeva. Fake News Detection on Social Media using Geometric Deep Learning link: https://arxiv.org/abs/1902.06673. Mohammed Sweilam. Unsupervised Monocular Depth Estimation with Left-Right Consistency link: https://arxiv.org/pdf/1609.03677.pdf, reproducible: https://github.com/mrharicot/monodepth. Khue Luu. MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentationS3D-UNet: Separable 3D U-Net for Brain Tumor Segmentation link: https://arxiv.org/abs/1902.04049, reproducible: https://github.com/nibtehaz/MultiResUNet. Enes Kuzucu. Age and gender classification using brain–computer interface link: https://link.springer.com/article/10.1007/s00521-018-3397-1 (moved from 2 March) |
||
| 16, | Vladislav. Paper Rohan. Thesis. Alix. Paper Virgilio. Thesis. Sergey Pnev. Paper. Maxim Kochanov. Paper. (Moved from 2 March) |
||
| 23, | Vladislav. Master Walid. Paper. Vigrilio. Paper. Sergey Berezin. Paper. Kozinets Roman. Paper. Vasiliy Baranov. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation link: https://arxiv.org/pdf/1612.00593v2.pdf, reproducible:https://github.com/charlesq34/pointnet. (Moved from 2 March) Alexander Rusnak. Report from previous time about the paper results reproducibility. (Moved from 16 March) |
30, | Mohammed Sweilam. Thesis. Alexander Donets. Thesis. Alexander Donets. Paper. Sergey Pnev. Thesis. Vasiliy Baranov. Thesis. |
February, 2021¶
| 9, | Planning the semester |
| 16, | Planning the semester ~25 min slot~ ~25 min slot~ |
| 23, | Holiday |
Schedule 2020, fall¶
Tuesday, 16:20, online: https://zoom.us/j/86212050320
September, 2020¶
| 8, #3879 | Planning the semester |
| 15, #3898 | Invited lecture: Anton Kolonin, scientific topics for master Planning the semester |
| 22, #4005 | Invited lecture: Dmitry Tailakov, scientific topics for master, Enterprise Practice from DFT, and from SDAML NSU Planning the semester |
| 29, #4100 | Evgeniy Pavlovskiy @euxsun. Topics for master thesis. Planning the semester |
October, 2020¶
| 6, #4197 | Sergey Berezin. Towards a Human-like Open-Domain Chatbot https://arxiv.org/abs/2001.09977. Nikita Nikolaev. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks - IJCNLP 2019 - cited by 194. https://paperswithcode.com/paper/sentence-bert-sentence-embeddings-using. Virgilio Espina. Reinforcement learning applied to Forex trading. https://bit.ly/33p4qXT. Khue Luu. Generative Adversarial Networks https://arxiv.org/abs/1406.2661. Vladislav Panferov. Progressive Semantic-Aware Style Transformation for Blind Face Restoration https://arxiv.org/pdf/2009.08709.pdf. |
| 13, #4325 | Daria Pirozhkova. OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction https://paperswithcode.com/paper/opennre-an-open-and-extensible-toolkit-for. Dinesh Reddy. Community detection in social networks https://bit.ly/32u1jP2. Kirill Lunev. Data mining with big data https://ieeexplore.ieee.org/abstract/document/6547630. Walid Koliai. VoiceFilter from Google https://google.github.io/speaker-id/publications/VoiceFilter/. |
| 20, #4448 | Kaivalya Pandey. 3D Self-Supervised Methods for Medical Imaging https://arxiv.org/abs/2006.03829, https://paperswithcode.com/paper/3d-self-supervised-methods-for-medical. Maria Matveeva. The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics https://arxiv.org/pdf/2002.09931v1.pdf. Enes Kuzucu. Deep Learning Applications in Medical Image Analysis /2018/251cit https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241753. Andrey Yashkin. Semantic Image Synthesis with Spatially-Adaptive Normalization https://arxiv.org/abs/1903.07291. Oladotun Aluko. Transformer-OCR https://github.com/fengxinjie/Transformer-OCR. |
| 27, #4525 | Rusnak Alexander. Neural oblivious decision ensembles for deep learning on tabular data https://arxiv.org/pdf/1909.06312.pdf, https://github.com/Qwicen/node. Vladislav Panferov. Thesis: Recognition of Rocks Lithology on the Images of Core Samples (Supervisor: Dmitry Tailakov). Virgilio Espina. Thesis: Dengue Prediciton (Supervisor: Alexey Kolesnikov). Ahmed Fakhry. Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers /2017/59 Cit. https://arxiv.org/pdf/1708.09757.pdf. Vassily Baranov. Zero-Shot Learning - A ComprehensiveEvaluation of the Good, the Bad and the Ugly https://arxiv.org/pdf/1707.00600.pdf. |
November, 2020¶
| 3, #4622 | Khue Luu. Thesis: Brain Tumor Segmentation (Sci.advisor: Evgeniy N. Pavlovskiy, PhD). Mikhail Liz. Activate or Not: Learning Customized Activation https://arxiv.org/abs/2009.04759. Enes Kuzucu. Thesis: EEG (Sci.advisor: Alexander N. Savostyanov, PhD).. Aaron Xu Zhang. You Only Look Once: Unified, Real-Time Object Detection https://arxiv.org/abs/1506.02640 (and YOLO-5). Watana Pongsapas. Automatic License Plate Recognition with Pyhton and OpenCV. |
| 10, #4730 | Alexey Korolev. Plug and Play Language Models: A Simple Approach to Controlled Text Generation https://arxiv.org/pdf/1912.02164.pdf. Rishabh Tiwarri. Mask R-CNN https://arxiv.org/abs/1703.06870. Kirill Kalmutskiy. XGBoost: A Scalable Tree Boosting System https://arxiv.org/pdf/1603.02754.pdf. Hami Asmai. Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities https://journalofbigdata.springeropen.com/articles/10.1186/s40537-020-00329-2. Vassily Baranov. Thesis: Classification of COVID-19 in Computed Tomography using Deep Neural Networks (Supervisor: V.B. Berikov). |
| 17, #4731 | Sayed Mohammad Sajjadi. Online actions with offline impact: How online social networks influence online and offline user behavior https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361221/. Alix Bernard. Field Inversion and Machine Learning With Embedded Neural Networks: Physics-Consistent Neural Network Training https://www.researchgate.net/publication/333808531_Field_Inversion_and_Machine_Learning_With_Embedded_Neural_Networks_Physics-Consistent_Neural_Network_Training. Alexander Donets. Entity, Relation, and Event Extraction with Contextualized Span Representations https://paperswithcode.com/paper/entity-relation-and-event-extraction-with. Sergey Pnev. Deep neural networks for youtube recommendations https://research.google/pubs/pub45530.pdf. Mikhail Rodin. Classification is a Strong Baseline for Deep Metric Learning https://arxiv.org/abs/1811.12649v2. |
| 24, #4776 | Mukul Vishvas. DeepFaceDrawing: Deep Generation of Face Images from Sketches https://research.fb.com/wp-content/uploads/2020/06/Neural-Supersampling-for-Real-time-Rendering.pdf. Segery Berezin. Thesis: ?. Mohammed Sweilam. Consistent Video Depth Estimation https://arxiv.org/abs/2004.15021. Raphael Blankson. A variational Algorithm for Quantum Neural Networks https://link.springer.com/chapter/10.1007/978-3-030-50433-5_45. |
December, 2020¶
20 minutes for each presentation.
| 1, #4873 | Aaron Xu Zhang. Thesis: Social structure and dynamics mining for TikTok (social network may change). Supervisor: A.Kolonin. Rohan Rathore. Does BERT Make Any Sense? https://arxiv.org/pdf/1909.10430.pdf Walid Koliai. Thesis: 2D online GPU correlation analysis of streamed particle images. Supervisor: Mikhail Tokarev, PhD |
| 8, #4965 | Rohan Rathore. Thesis: Explorative study of explainable artificial intelligence technique for sentiment analysis applied for English language. Supervisor: A.Kolonin. Kirill Kalmutskiy. Thesis: Training of deep neural networks with incomplete training information on the example of recognition of tomographic images. Supervisor: V. Berikov Kirill Lunev. Thesis: . Supervisor: A. Kolonin Mikhail Liz. Thesis: Quantitative processing of scanning probe microscopy image with deep learning techniques. Supervisor: A. Okunev Rusnak Alexander. Thesis: Investigation of the possibility of generating neural network models for the generation of thematically and stylistically conditioned texts for low-resource languages. Supervisor: V. Barakhnin Hami Ismail. Thesis: Recognition of different objects of oilfield infrastructure by machine learning methods. Supervisor: Dmitry Tailakov. Maxim Kochanov. DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation https://arxiv.org/pdf/2006.04868.pdf. (15 min) |
| 15, #5110 | Alix Bernard. Thesis. Daria Pirozhkova. Thesis: Study of methods for automatic taxonomy enrichment for the Russian language. advisor: Batura T. Mukul Vishwas. Thesis. Andrey Yashkin. Thesis. Sergey Verbitsky. Residual Audio Neural Networks with Multiple Features for Sound Classification. (10 min) Sayed Mohammed Sajjadi. Thesis: ?. Supervisor: A.Kolonin. (moved from 1 Dec) Oladotun Aluko. Thesis: Studying Applicability of PoR as an alternative consensus mechanism for Distributed Ledger Systems. Supervisor: A.Kolonin. (moved from 1 Dec) Mark Baushenko. Neural Supersampling for Real-time Rendering. (10 min) (moved from 8 Dec) |
| 22, # | Nikita Nikoaev. Thesis. Alexey Koroloev. Thesis. Watana Pongsapas. Thesis Mohammed Sweilam. Thesis. Svelana Kuchuganova. Mixup Breakdown Algorithm. (15 min) Raphael Blankson. Thesis. (moved from the next week) |
| 29, #5467 | Sergey Pnev. Thesis. Alexander Donets. Thesis. Maria Matveeva. Thesis. Dinesh Reddy. Thesis. Rishabh Tiwarri. Thesis. (moved from the previous week) |
Schedule 2020, spring¶
Thursday, 16:20, cab 0207 NSU new building, '-1' elevator floor, online: https://zoom.us/j/910812617
June, 2020¶
| 4, #3424 | Elena Voskoboy Coursework Abhishek Saxena Coursework Vladislav Panferov Traditional Method Inspired Deep Neural Network for Edge Detection Sergey Garmaev Coursework Nikita Nikolaev Coursework Owen Siyoto Learning to interpret satellite images in global scale using wikipedia Mohamed Nasser Coursework Watana Pongsapas Coursework Alix Bernard Coursework Andrey Yashkin Coursework Thibault Kollen Gogioso S. A Corpus-based Toy Model for DisCoCat //arXiv preprint arXiv:1605.04013. – 2016. URL: https://arxiv.org/pdf/1605.04013.pdf Geoffroy de Felcourt 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 Antoine Logeais Skip-thoughts, Infersent, RandSent - Facebook Richard Fambon Vorontsov K. et al. Bigartm: Open source library for regularized multimodal topic modeling of large collections //International Conference on Analysis of Images, Social Networks and Texts. – Springer, Cham, 2015. – С. 370-381. URL: http://www.machinelearning.ru/wiki/images/e/ea/Voron15aist.pdf |
May, 2020¶
| 7, #3241 | Ravi Kumar Master Owen Siyoto Master Oladotun Aluko Coursework Alexander Rusnak Coursework Vladislav Panferov Coursework Abhishek Saxena Blockchain for AI: Review and open research challenges Mikhail Liz Coursework |
| 14, #3248 | Kaivalya Pandey Coursework Andrey Yashkin Coursework Rohan Rathore Coursework Dinesh Reddy Coursework Munyaradzi Njera Paper Munyaradzi Njera Master Thesis |
| 21, #3283 | Daria Pirozhkova Coursework Alexey Korolev Coursework Mohamed Nasser End-to-End 3D Face Reconstruction with Deep Neural Networks Olga Yakovenko Master thesis |
| 28, #3325 | Mukul Vishwas Coursework Raphael Blankson Coursework Rishabh Tiwari Coursework |
April, 2020¶
| 2, # | [Optional] Daia Scientist - values of a professional |
| 9 |
Thibault Kollen Flipout: Efficient pseudo-independent weight perturbations on mini-batches Richard Fambon Tensor Networks Alexander Rusnak GPT-2 Dinesh Reddy Brain Tumor Sementation Using Deep Learning by Type Specific Sorting of Images Alix Bernard Deep Learning based Approach to Reduced Order Modelling Ravi Kumar Complex Convolution. IEEE Olga Yakovenko University of Pau |
| 16 |
Rohan Rathore Layer-wise relevance propagation: an overview Antoine Logeais Weight uncertainty in neural networks Alexey Korolev Bert-dst: Scalable end-to-end dialogue state tracking with bidirectional encoder representations from transformer Alexander Donets Implicit weight uncertainty in neural networks |
| 23 |
Jetina Tsvaki Understanding mixup training methods Jetina Tsvaki Master Mukul Vishwas A Study on Face Recognition Techniques with Age and Gender Classification Rishabh Tiwari Geoffroy de Felcourt Jasper: An end-to-end convolutional neural acoustic model Fishman Daniil XGBoost: A Scalable Tree Boosting System Fishman Daniil Master |
| 30, #3240 | Raphael Blankson Towards quantum machine learning with tensor networks Vassily Baranov Coursework Kalmutskiy Kirill Coursework Mikhail Rodin Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization |
March, 2020¶
| 5, #3137 | Mikhail Liz Deep learning for symbolic mathematics Vassily Baranov Distilling knowledge Sergey Garmaev Reservoir Computing |
| 12, #3138 | Oladotun Aluko NASNet and AutoML Watana Pongsapas Deep learning: A Generic approach for extreme condition traffic Kirill Kalmutsky Variational Quantum Circuits and Deep Reinforcement Learning Andrey Yashkin Quantum circuit learning |
| 19, #3139 | Elena Voskoboy Hybrid VAE for NLG ~25 min slot~ |
| 26, #3190 | Omid Razizadeh Reynolds Averaged Turbulence Modeling using Deep Neural Networks with Embedded Invariance. Omid Razizadeh Master thesis Kaivalya Pandey Deep Reinforcement Learning |
February, 2020¶
| 6, #3133 | Planning the semester |
| 13, #3133 | Planning the semester |
| 20, #3136 | Nikita Nikolaev Zero and Few shot learning ~25 min slot~ ~25 min slot~ ~25 min slot~ |
| 27, #3135 | Daria Pirozhkova ERNIE ~25 min slot~ ~25 min slot~ |
Schedule 2019, fall¶
Thursday, 18:10, cab 5239 NSU new building
December, 2019¶
| 5, #2819 | Rohan Rahore “Why Should I Trust You?” Explaining the Predictions of Any Classifier Jetina Tsvaki Thesis Omid Razizadeh Thesis |
| 12, #2860 | Ravi Kumar Thesis Raphael Blankson Nikita Nikolaev Abhishek Saxena Rishabh Tiwarri |
| 19, #2946 | Conducted by Kaivalya Anand Pandey Jetina Tsvaki Paper Mikhail Liz CosFace Alexander Rusnak |
| 26, # | Mihail Rodin Style transfer Mohammed Sweilam Owen Siyoto Master thesis Owen Siyoto Efficient Net Rescheduled: * Elizaveta Tagirova Paper with code: Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme- * Elizaveta Tagirova Master thesis * Vladislav Panferov |
November, 2019¶
| 7, #2660 | Sergey Garmaev Dinesh Reddy Daria Pirozhkova Ravi Kumar Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge |
| 14, #2720 | Roman Kozinets, Weight Agnostic Neural Networks Roman Kozinets, Master thesis Elena Voskoboy A neural algorithm of artistic style Alix Bernard |
| 21, #2726 | Kaivalya Pandey Alexander Donets Andrey Yashkin Oladotun Aluko |
| 28, #2766 | Alexey Korolev Kirill Kalmutskiy Mukul Vishwas Antoine Kristanek |
October, 2019¶
| 3, #2447 | ~25 min slot~ ~25 min slot~ ~25 min slot~ ~25 min slot~ |
| 10, #2456 | Scientific Advisor: prof. Yakovenko S.N. Scientific Advisor: Postovalov S.N. Scientific Advisor: Bondarenko I., Batura T.V. ~25 min slot~ |
| 17, #2473 | Munyaradzi Njera Paper ~25 min slot~ ~25 min slot~ ~25 min slot~ |
| 24, # | Scientific Advisor: prof. Palchunov D.E. Munyaradzi Njera Thesis Vassily Baranov |
| 31, #2638 | Omid Razizadeh, Data-driven predictive using field inversion ~25 min slot~ Watana Pongsapas |
September, 2019¶
1. Introduction
2. Scientific advisors presentations: https://trello.com/b/859tElZm/scientfic-advisors-19-21
- Taylakov D. (Digital Field Technology)
- Kolonin A.
- Okunev A.
- Usov E. (NNTC.pro)
3. Planning the semester #2435 (20.09.2019, 26.09.2019)
Schedule 2019, spring
Thursday, 16:20, cab 5212 NSU new building¶
May, 2019¶
| 23, # | Munjaradzi Njera Master thesis Andrey Marinov: Selsam, D., Lamm, M., Bünz, B., Liang, P., de Moura, L., & Dill, D. L. (2018). Learning a SAT solver from single-bit supervision. arXiv preprint arXiv:1802.03685. Ravi Kumar Course work Roman Kozinets Master thesis (imaging) Anton Dorozhko Reinforcement Learning for long-term reward optimization in recommender systems (Master thesis) Omid Razizadeh Coursework: Detecting Alzheimer's disease using different machine learning approaches Artem Sergeev Paper: Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Artem Sergeev Master Thesis |
| 16, # | Jetina Tsvaki Master thesis Anik Chakrabarthy Master thesis Dylan Bersans Outside the closed world: On Using ML for Network Intrusion Detection Andrey Marinov Master thesis: Research on an efficiency of the bilingual model for the silent speech recognition. Ivan Rogalsky Open System Categorical Quantum Semantics in NLP (master thesis, review) Jetina Tsvaki Predicting Oil Movement in a development System Using Deep Latent Dynamic Models |
April, 2019¶
| 25, # | Open Seminar jointly with Open Data Science Siberia Andrey Zubkov Master thesis: Separability of silent speech phonemes for English language. Speaker and session independence. Evgeniy Kurochkin Master thesis Alexandra Luchkina Master thesis Leyuan Sheng Master thesis: Text to speech synthesis using Generative Adversarial networks for speech enhancement. Malysheva Anastasia Master thesis: The development and research of the prediction methods for time series obtained by the combination of different patterns. Olga Yakovenko Course work Juan Pinzon Master thesis: Sentiment Analysis in Social Media Texts (Spanish language) Video: https://www.youtube.com/watch?v=T7Oa4hBR3g4 |
| 18, # | 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 Natalia Loukashevich Modern trends on NLP (Tochka Kipenia, Academpark, 16:00, 18.04.2019) |
| 11, #2164 | Leyuan Sheng Tacotron 2 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, #2146 | Roman Kozinets CNN for speech command recognition. Review Akilesh Sivaswamy Master thesis: Data classification using superposition and HMM Madina Tussupova Master Thesis: Determination of grammatical categories using machine learning algorithms 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, #2105 | 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 |
| 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 | 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, # | Gyamerah Seth, Fuzzy time series on financial forecasting 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 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
- Taylakov D.
- Savostyanov A.N.
- Duchkov A.
- Golovin S.
- Pavlovskiy E.
- Kohanovskiy A.
- Sviridenko D.
- Redyuk A.
- Vityaev E.