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Mikita Shchutski | A small BERT towards Large Medical Models
Data Fest Online 2020 AI Hardware Track Premiere
Interview with Juergen Schmidhuber at Data Christmas 2020
Gene Kogan | Machine learning for creativity
Alex Farseev | Under the Boot of Google and Facebook and How to Crack it for better Performance
Artem Koval | Cloud-Native MLOps Framework
Data Fest Online 2021 | IGLU Competition @ NeurIPS 2021
Prince Canuma | Catalyst integration with Neptune
Catalyst integration with Wandb
Bag of tricks for image classification — Artur Kuzin
Segmentation without pain — Yury Bolkonsky, Andrei Dukhounik
Use leaks for validation Kaggle ASHRAE Great Energy Predictor III — Yury Bolkonsky
Time series met AutoML Codalab Automated Time Series Regression — Denis Vorotyntsev
DL for 6D Pose Estimation for Self Driving Cars — Adel Valiullin
2 Competitions 1 Unet SpaceNet 5 Challenge & The 3rd Tellus Satellite Challenge — Ilya Kibardin
Bruno Mlodozeniec: Ensemble Distribution Distillation - Classification
Dmitry Khizbullin: Overview of DaVinci compute architecture for Deep Learning training and inference
Evgenii Zheltonozhskii: Entropy Encoding for CNN Inference
ML Perf, Machine Learning Hardware Benchmark
Mike Ivanov: FPGA and ASIC in datacenters
Denis Gudovskiy: Embedded Computer Vision for Autonomous Systems
Enabling Embedded AI at the Network Edge
Simon Thye Andersen: Neural Networks in FPGAs
Mikhail Druzhinin: Open Data Science Open Source. Albumentations
Dmitry Petrov: Open Data Science Open Source. DVC & CML
Stepan Kudin, Alexander Notchenko: Reconstruction of the dental crown from single image
Maksim Sharaev: AI for biomedical tasks: trustworthy datasets and labeling
ML in Healthcare Track Premiere
Sergey Plis: Machine learning and neuroimaging
Alexey Grigirev: + Counting - Machine Learning