no code implementations • NAACL 2022 • Anton Chernyavskiy, Dmitry Ilvovsky, Pavel Kalinin, Preslav Nakov
The use of contrastive loss for representation learning has become prominent in computer vision, and it is now getting attention in Natural Language Processing (NLP).
no code implementations • 8 Jun 2021 • Vyacheslav Alipov, Riley Simmons-Edler, Nikita Putintsev, Pavel Kalinin, Dmitry Vetrov
Credit assignment is a fundamental problem in reinforcement learning, the problem of measuring an action's influence on future rewards.