Прикладное машинное обучение и глубинное обучение

Исследовательская группа

Прикладное машинное обучение и глубинное обучение

Группа занимается применением современных state-of-the-art методов машинного обучения и анализа данных к различным задачам во всевозможных областях.

Мы активно работаем со студентами из лидирующих университетов и также участвуем в разработке курсов с целью улучшения уровня высшего образования в области

Новости

T5: Text-to-Text Transfer Trasformer 2 декабря 2019
Distributed Transformer-XL 18 ноября 2019
Knowledge Distillation for BERT 11 ноября 2019

Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean F Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaśkowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy Watson, Marcel Salathé, Sergey Levine, Scott Delp

Artificial Intelligence for Prosthetics-challenge solutions

The NeurIPS '18 Competition, Ноябрь 2019
Igor Tukh, Pavel Braslavski, and Kseniya Buraya

Log-based Reading Speed Prediction: a Case Study on War and Peace

AIST, Июль 2019
Larissa Kolesnichenko, Pavel Braslavski

Words and Topics: Content Representations for Book Recommendation

Dialog, Май 2019
Aleksandra Malysheva, Aleksei Shpilman and Daniel Kudenko

MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning

Adaptive and Learning Agents at AAMAS, Май 2019
Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman

Framework for Deep Reinforcement Learning with GPU-CPU Multiprocessing

Open Access Software, Декабрь 2018
Aleksandra Malysheva, Tegg Taekyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman

Deep Multi-Agent Reinforcement Learning with Relevance Graphs

NeurIPS Deep Reinforcement Learning Workshop, Декабрь 2018
A. Gaydashenko, D. Kudenko, A. Shpilman

A comparative evaluation of machine learning methods for robot navigation through human crowds

ICMLA, Декабрь 2018
A. Malysheva, D. Kudenko, A. Shpilman

Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data

ICARCV, Ноябрь 2018
I. Sosin, D. Kudenko, A. Shpilman

Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation

ICARCV, Ноябрь 2018
V. Chockalingam, T. Sung, F. Behbahani, R. Gargeya, A. Sivanantham, A. Malysheva

Rainbow World Models

AIIDE-18 Workshop: Learning to Play, Ноябрь 2018
Anton Ermilov, Natasha Murashkina, Valeria Goryacheva, Pavel Braslavski

Stierlitz Meets SVM: Humor Detection in Russian

AINL, Октябрь 2018
Oksana Antropova, Elena Arslanova, Maxim Shaposhnikov, Pavel Braslavski, Mikhail Mukhin

Cleaning up after a Party: Post-processing Thesaurus Crowdsourced Data

AINL, Октябрь 2018
Timofey Bryksin, Evgenii Novozhilov, and Aleksei Shpilman

Automatic Recommendation of Move Method Refactorings Using Clustering Ensembles

2nd International Workshop on Refactoring (IWoR), Сентябрь 2018
Ksenia Zhagorina, Pavel Braslavski, Vladimir Gusev

Personal Names Popularity Estimation and its Application to Record Linkage

ADBIS, Сентябрь 2018
A. Malysheva, A. Shpilman, D. Kudenko

Learning to Run with Reward Shaping from Video Data

Workshop on Adaptive and Learning Agents (ALA) at ICML-AAMAS, Июль 2018
S. Golovanov, R. Kurbanov, A. Artamonov, A. Davydow, S. Nikolenko

Building Detection from Satellite Imagery Using a Composite Loss Function

CVPR Workshop, Июнь 2018
T. Bryskin, A. Shpilman, D. Kudenko

Automated refactoring of object-oriented code using clustering ensembles

AAAI Workshop on Natural Language Processing for Software Engineering, Февраль 2018
A. Shpilman, D. Boikiy, M. Plyakova, D. Kudenko, A. Burakov, E. Nadezhdina

Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks

ICMLA, Декабрь 2017