15 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation
Dmitry Medvedev, Alexander D'yakonov
Using huge training datasets can be costly and inconvenient. This article explores various data distillation techniques that can reduce the amount of data required to successfully…
cs.LG2020
New Properties of the Data Distillation Method When Working With Tabular Data
Dmitry Medvedev, Alexander D'yakonov
Data distillation is the problem of reducing the volume oftraining data while keeping only the necessary information. With thispaper, we deeper explore the new data distillation al…
cs.LG2019★ 15 cited
Modern Deep Reinforcement Learning Algorithms
Sergey Ivanov, Alexander D'yakonov
Recent advances in Reinforcement Learning, grounded on combining classical theoretical results with Deep Learning paradigm, led to breakthroughs in many artificial intelligence tas…