Résumé
Stochastic Weight Averaging (SWA) dafay jël moyenne bu yomb ci diisaayu model bi ci poñ yu bari ci diggu tàggat yaram, du tëye nataal bu mujj bi. Kaf gu yomb gii dafay faral di teg model bi ci gox bu gëna dalal, bu gëna yaatu ci paysage perte bi, te loolu dafay gëna generalise ci done yuñu gisul.
Liggéeyu poids stochastic ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci balans bi.
Plongeur bu xóot
Izmailov, Wilson ak ay naataango ñoo ko dugal ci 2018, SWA dafay jëfandikoo seetlu bi ñu gis ni SGD ak njàngum njàng mu sax wala njàngum siklik du jëm ci benn poñ - dafay rebondir ci wetu vale bu yaatu, bu dalal. Du tann benn ci barab yu bari yi, SWA dafay doxal njàngum njàng mu yéeg (muy faral di nekk wala cyclic) ci jamono yu mujj yi, ba noppi di moyenne poids yi mu dem, lu gëna bari ci jamono bu nekk. Poids moyenne yi ñoo gëna jege diggu gox bu dalal bi. Ndax lim yi ñuy jëfandikoo ngir normalisasioŋ ci lote yi dañu leen di xayma ci ay poñ yuñ tànn, SWA dafay laaj benn jéego bu gëna mag ci kaw done yi ngir xaymawaat BN biy daw ak variance yi ci model moyenne bi. Njëg li amul benn fayda, te njariñu njubte gi dafay méngoo ci tànneefi nataal yi ak feneen.
Gis-gis xarala
SWA dafay tëye ab moyenne buy daw w_SWA = (n·w_SWA + w_i)/(n+1) di yeesal sikl bu nekk, ci noonu la xeetu SGD biy dundu di wéy di jàngat ak tolluwaayu jàng bu yaatu. Moyenne ci espace poids mingi jege ensemble ci espace fonction waaye benn model la ci inference, du bari. Mekanism bi gëna am solo mooy minima yu plat yi dañu dëgër ci perturbation yu diis, moo tax surface yiy ñàkk tàggat/test ñu ngi nekk ci yoon, wàññi gap bi ci généralisation.
Xam xam poid moyenne stochastic
Stochastic Weight Averaging (SWA) dafay jël moyenne bu yomb ci diisaayu model bi ci poñ yu bari ci diggu tàggat yaram, du tëye nataal bu mujj bi. Kaf gu yomb gii dafay faral di teg model bi ci gox bu gëna dalal, bu gëna yaatu ci paysage perte bi, te loolu dafay gëna generalise ci done yuñu gisul. Liggéeyu poids stochastic ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci balans bi. Ngir tabax xam-xam bu xóot, jàppal Stochastic Weight Averaging ni xeetu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeral xalaat yi, ak tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo Stochastic Weight Averaging dañuy gëna baaxal architecture, done, ak tànneefi infrastructure ci wàllu wóor ak njëg. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jamano jooju, Optimisation benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
Yokkateg njubteg test bu ResNet ak DenseNet ci CIFAR ak ImageNet te doo fay dara.
SWAG (SWA-Gaussian) defar xayma yuñ kalibree ci ñàkka wóor ngir xam luy waaja am ci benn tàggat yaram.
EMA-ci-poids yiy dakkal reso échantillonnage ci defarkati nataali diffusion yu melni Diffusion bu dëgër.
Tabax 'model supps' ci moyenne checkpoint yu bari yuñ defar bu baax ngir gëna am doole te doo tàggataat.
Modèlu jëfandikoo
Stochastic poids moyenne ci jëf
Yokkateg njubteg test bu ResNet ak DenseNet ci CIFAR ak ImageNet te doo fay dara.
Yokkateg njubteg test bu ResNet ak DenseNet nataal classifiers ci CIFAR ak ImageNet te amul benn njëg bu gëna mag. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Stochastic poids moyenne ci jëf
SWAG (SWA-Gaussian) defar xayma yuñ kalibree ci ñàkka wóor ngir xam luy waaja am ci benn tàggat yaram.
SWAG (SWA-Gaussian) defar xayma yu wóorul ci kalibre ngir xam-xam bu am solo ci benn tàggat-yaram. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njuréefi liggéey ak njëgu njuumte ci diir bi.
Stochastic poids moyenne ci jëf
EMA-ci-poids yiy dakkal reso échantillonnage ci defarkati nataali diffusion yu melni Diffusion bu dëgër.
EMA-de-poid yiy dakkal reso biy jël misaal ci generatëru nataalu diffusion yu melni Stable Diffusion Teams dañuy faral di am njariñ yu gëna baax suñu leeralee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Stochastic poids moyenne ci jëf
Tabax 'model supps' ci moyenne checkpoint yu bari yuñ defar bu baax ngir gëna am doole te doo tàggataat.
Tabax 'model supps' ci moyenne ay checkpoint yu bari yuñ defar bu baax ngir gëna dëgër te duñu tàggataat ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee ay threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit yi ak njëgu njuumte yi ci diir bu gàtt.
Risk yi ak balustrade yi
Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Benchmark ci biir sargal ak done yu dëggu.
Benchmark ci biir sargal ak done yu dëggu. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.