July 4, 2025
<sid.inpe.br/sibgrapi/2020/09.30.23.54>
(repository)

Conference Proceedings
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
Cordeiro, Filipe Rolim & Carneiro, Gustavo :2020:
(metadata from site <sibgrapi.sid.inpe.br 802>)

The number of visits¹ since October 19, 2020 is 805.

Average number of visits per day over 10 periods of 172 days

0.55 0.65 0.78 0.56 0.37 0.38 0.39 0.47 0.40 0.14   1       2      3      4      5      6      7      8      9       10

The height of the purple bar is proportional to the average number of visits per day
within the corresponding period.
Period 1 begins on October 19, 2020 ( ), and Period 10 ends on July 4, 2025 ( ).
The number of visits over the 10 periods is 805.
The average number of visits per day over the 10 periods is 0.47.
¹Before May 17, 2015, all each user visits (IP) were added, thereafter, only one visit per day for each user (IP) is added.