1. Plan change¶

Moved to next time:

• Kirill Kalmutskiy. Wide & Deep Learning for Recommender Systems link: https://arxiv.org/abs/1606.07792, reproducible: https://github.com/shenweichen/DeepCTR.
• Sayed Mohammad. Opinion leader detection using whale optimization algorithm in online social network link: https://www.sciencedirect.com/science/article/pii/S095741741930733X?casa_token=Sj6ySbKY5j0AAAAA:mPgOKDf9RS_AzUACoTAH7G6uu9-gUy_R5E4l6p7j6p916VcGwykuBDZKhfWqsSOeRSRfQ-D6yA.

Acad.vacation:

• Mikhail Liz. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks link: https://arxiv.org/abs/1506.01497, reproducible: https://github.com/facebookresearch/detectron2.
• Mikhail Rodin. Paper.

Moved to 4 May:

• Kozinets Roman. Thesis: Analysis of CNN working with logical decision functions in the task of computer tomography images recognition / Анализ работы сети глубокого обучения с использованием логических решающих функций на примере задачи распознавания изображений компьютерной томографии.

2. Papers presenting¶

1 16:24-16:41 Alexey Korolev. Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data link: https://arxiv.org/abs/1909.06312, reproducible: https://github.com/Qwicen/node. presentation
2 16:41-16:58 Sergey Garmaev. SpectralNet: Spectral Clustering using Deep Neural Networks link: https://arxiv.org/abs/1801.01587, reproducible: https://github.com/kstant0725/SpectralNet presentation
3 16:58-17:10 Mohammed Nasser Thesis: Enhancement of consistent depth estimation for monocular videos / Улучшение согласованной оценки глубины для монокулярных видео (Moved from 29 March, 13 April) presentation

Recorded video: https://www.youtube.com/watch?v=TCzillrEDyI