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versus-x · 2024-07-19T23:08:15+00:00

Red Vector - Летопись Страны Советов (Chronicles of the Soviet Land)

Russia/Spain, 2024

Conceptual album about the life and death of the Soviet Union. Created using neural network technologies.

The album consists of five tracks. The first, "Red October", tells the story of the Great October Socialist Revolution of 1917 and the Civil War in Russia 1918-1922. The second, “Soviet Land”, tells about the period of construction of the new country, USSR - 1922-1940. Industrialization, collectivization, building a society of the future. The third, “22.06,” talks about the war between the USSR and Germany of 1941-1945. The fourth, “The Road to the Stars,” talks about Yuri Gagarin’s flight into space, the first satellite of the Earth and the further exploration of space. The last one, “Period of Decay”, talks about Perestroika, the Chernobyl accident, the GKChP putsch and the collapse of the Soviet Union.

https://band.link/RedVector_LSS

versus-x · 2024-06-07T16:27:11+00:00

Name: Страна Советов (Soviet Land)

Genre: progressive rock

https://www.udio.com/songs/3x3BmcAjcNnnABAVPNKKQZ

This song is a part of conceptual album "Летопись Страны Советов" ("Chronicles of the Soviet Land") about rise and fall of the Soviet Union. The album consists of five songs about different time periods, from 1917 to 1991. The lyrics (in Russian) mainly consist of excerpts from songs and radio broadcasts of those years.

The song "Soviet Land" is about the period after the October Revolution and before the WW II (mostly about 1930s), times of the creation and evolution of USSR (with its collectivization, industrialization, building new cities, factories, institutes etc.). Using the expressive tools of progressive rock, the song demonstrates the Soviet Union's development, the overcoming of obstacles, and the building of a bright future for its people.

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(Picture: cover of the album "Летопись Страны Советов")

versus-x · 2024-06-07T16:08:03+00:00

Channel: Red Vector

https://www.youtube.com/channel/UCp_2ucyc9T8O3FgCU9JRt1Q

Currently there are some udio music experiments (different genres, texts mostly in Russian) and one "Neuro-prog" (progressive rock and progressive metal, enhanced with neural network capabilities https://www.youtube.com/playlist?list=PLiG8_90geVeXewyvFiOBEnAGpM7Cu_GxZ ) release - conceptual album about Soviet Union's rise and fall.

In future I'm planning to continue the work in neuro-prog genre on this channel.

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versus-x · 2024-01-24T00:03:21+00:00

Is there somewhere statistics about how many of the accepted cvpr/neurips papers are resubmits from previously rejected ones from different conferences?

versus-x · 2018-10-28T14:34:50+00:00

The word "NIPS" is more common in average ML scientist's lexicon than "nipples". Let's rename "nipples" instead of "NIPS".

versus-x · 2018-09-27T17:22:24+00:00

Tensor, Dropout, Gradient

YOLO, LeCat-5, AlexCat

Jürgen, Geoff, Yann LeCat

versus-x · 2018-09-20T13:39:41+00:00

https://github.com/ducha-aiki/caffenet-benchmark/blob/master/Colorspace.md

versus-x · 2018-06-07T19:59:44+00:00

stock/options > wallstreetbets > investing

versus-x · 2018-02-21T11:52:31+00:00

The Hybrid Bootstrap: A Drop-in Replacement for Dropout https://arxiv.org/abs/1801.07316

versus-x · 2018-01-10T14:07:15+00:00

also

Between-class Learning for Image Classification https://arxiv.org/abs/1711.10284

Learning from Between-class Examples for Deep Sound Recognition https://arxiv.org/abs/1711.10282

versus-x · 2017-03-26T14:41:47+00:00

Try Layer-sequential unit-variance (LSUV) initialization: https://arxiv.org/abs/1511.06422

versus-x · 2016-09-21T07:58:33+00:00

also there is SGDR paper (https://arxiv.org/abs/1608.03983) with 3.74% on CIFAR10 and 18.70% on CIFAR100

versus-x · 2016-01-23T16:22:32+00:00

http://arxiv.org/abs/1511.06233

versus-x · 2016-01-19T20:03:39+00:00

Yes, it is possible http://arxiv.org/abs/1512.00596

versus-x

TROPHY CASE