1. Plan change¶

Moved to 13 April:

• Vladislav Panferov. Master thesis: Recognition of Rocks Lithology on the Images of Core Samples

Moved to 30 March:

• Alexander Rusnak. Report from previous time about the paper results reproducibility.

Postponed to uncertain date:

• Alexander Donets. Thesis: Automated thesaurus enrichment for the Russian Language using self-supervised deep learning approach.
• Alexander Donets. FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP link: https://www.aclweb.org/anthology/N19-4010/, reproducible: https://github.com/flairNLP/flair.
• Vasiliy Baranov. Thesis: Classification of COVID-19 in Computed Tomography using Deep Neural Networks. (Moved to 25 May)

2. Papers & thesis presenting¶

1 16:22-16:42 Walid Koliai. End to End Learning for Self-Driving Cars link: https://arxiv.org/abs/1604.07316, reproducible: https://github.com/SullyChen/Autopilot-TensorFlow. Presentation
2 16:42-17:03 Vigrilio Espina. Developing a dengue forecast model using machine learning: A case study in China link: shorturl.at/lwEFT. Presentation
3 17:04-17:15 Sergey Berezin. Big Bird: Transformers for Longer Sequences link: https://arxiv.org/abs/2007.14062v2, reproducible: https://github.com/google-research/bigbird. Presentation
4 17:15-17:42 Kozinets Roman. YOLOv4: Optimal Speed and Accuracy of Object Detection link: https://arxiv.org/pdf/2004.10934.pdf. Presentation
5 17:42-18:00 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) Presentation
6 18:00-18:05 Alix Bernard. Report from previous time about the paper results reproducibility. (Moved from 16 March) Presentation

Recorded video: https://www.youtube.com/watch?v=SQ-kzJ9R18U