Convolutions

Convolutions are a type of operation that can be used to learn representations from images. They involve a learnable kernel sliding over the image and performing element-wise multiplication with the input. The specification allows for parameter sharing and translation invariance. Below you can find a continuously updating list of convolutions.

Method Year Papers
1980 16435
2013 5006
2016 1052
2016 1040
2017 931
2015 563
2012 541
2015 185
2020 124
2017 117
2018 68
2020 67
2018 50
2014 31
2016 28
2016 23
2019 19
2017 15
2018 14
2000 12
2019 9
2019 9
2019 8
2019 7
2022 7
2019 4
2017 4
2021 4
2017 3
2018 3
2015 3
2020 3
2019 2
2021 2
2019 2
2020 2
2019 1
2019 1
2021 1
2021 1
2021 1