no code implementations • 23 Jun 2023 • Maksim Zhdanov, Ivan Karpukhin
The concepts of overfitting and generalization are vital for evaluating machine learning models.
no code implementations • 19 May 2023 • Stanislav Dereka, Ivan Karpukhin, Maksim Zhdanov, Sergey Kolesnikov
Deep ensembles are capable of achieving state-of-the-art results in classification and out-of-distribution (OOD) detection.
no code implementations • 23 May 2022 • Stanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov
Large-scale datasets are essential for the success of deep learning in image retrieval.
1 code implementation • 19 May 2022 • Ivan Karpukhin, Stanislav Dereka, Sergey Kolesnikov
Classification tasks are usually evaluated in terms of accuracy.
Ranked #2 on Image Classification on SVHN (Percentage correct metric)
1 code implementation • 14 Feb 2022 • Ivan Karpukhin, Stanislav Dereka, Sergey Kolesnikov
We thus provide a new confidence evaluation benchmark and establish a baseline for future confidence prediction research.