Regularisation bu méngoo ci jàng buñ yor
Regularisation bu méngoo dafay jàngal benn model mu joxe benn tontu sudee dañu perturbé ab input buñu etiketewul ci anam wu ndaw, etiket-preservation.
Résumé
It lets you learn from huge piles of unlabeled data, dramatically cutting how many hand-labeled examples you need.
Plongeur bu xóot
Etiketu done yi seer nañu lool; done yu amul etiketu daanaka duñu fay. Regularisation consistance dafay jëfandikoo ab xalaat bu yomb: soo nudge ab input tuuti (dagg, wëlbati, yokk bruit, weccoo sinonim) te doo soppi li muy tekki dëgg, li model bi waxoon warul soppiku. Ci diiru tàggat yaram, dangay dundal benn misaal bi amul etiket ci ñaari yoon yuñ yokk, ba noppi nga yokk benn perte buy yar wuute gi nekk ci diggante ñaari génne yi. Loolu dafay puus peggu dogal bi ci gox yu densité bi wàññeeku ci diggante clusters yi, suko defee du dagg ci grupu yu densité yu nuróo. Pexe yu melni Pi-Model, Ensembling Temporal, Jàngalekat bu Moyen, Tàggat Adversarial Virtuel, ak FixMatch ñoom ñépp ñu ngi tabax ci xalaat bii, boole ci ñàkka doytu bu ndaw buñ saytu ci done yuñ etikete ak ñàkka doytu buñ saytuwul ci yeneen yi.
Gis-gis xarala
Li am solo mooy ñu taxawal gradient ci benn bànxaas: benn gis-gis buñ yokk dafay defar 'target' (dafay faral di joge ci xeetu 'jàngalekat' buy dem exponentiel, ni ci Mean Teacher) ba noppi ñu tàggat beneen gis-gis bi mu méngoo ak moom. FixMatch dafay ñaw lii ci defar ab pseudo-label ci gis-gis bu yokk bu néew doole, tëye ko rek sudee wóolu boppam romb na benn buntu, ba noppi tàggat gis-gis bu yokk bu dëgër ngir xam etiket boobu. Buntu wóolu sa bopp bii dafay tere model bi gëna dooleel njuumteem yu njëkk ya.
njeextalu pexe
Njëgg ak budget
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
dogal yu gëna leer
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Xool kalite
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Ëlëgu Regularisation bu méngoo ci jàngat bu ñuy saytu
Regularisation consistance leegi dafay nekk standard ci gis-gis, wax, ak gëna bari bind ak jàng tabular, te dafay jàppale rëset yu bari yu ñuy saytu seen bopp. Xaarandil lëkkaloo bu gëna dëgër ak xeetu fondasioŋ, fu muy fine-tunes reso yu mag yuñ tàggat bu njëkk di jëfandikoo ay etiket yu néew ak corpus yu bari yu amul etiket. Gëstu mingi wàññi sensitivite bi ci tànneef yokk ak wóolu boppam, ba noppi yaatal ko ci jekkal àdduna dëgg bu bari xumbaay, fu yenn saa yi etiketu-preservation assumption bi di yàqu.
Doxal ci àdduna dëgg
FixMatch yegg na ci CIFAR-10 bu dëgër ak 4 nataal yuñ etikete ci klaas bu nekk ci fexe ba gëna am doole gëna dëgër.
Ekipu nataalu medsin yi dañuy tàggat ñiy xaaj tumër yi ci ay junni scanner yu amul etiket boole ci ay téemeeri cases yu radiologist yi etikete.
Sistem yiy xàmmee kàddu yi dañuy gëna suqali dialect yi ci forse transkripsioŋ yu méngoo ci biir audio bu bari bruit ak gaawaay buy yàq.
Jàngalekat biy dakkal tàggat yaram ci am xeetu 'jàngalekat' buy toxu, di defar ay mébet yu méngoo ngir 'ndongo' ci nataal yuñ etiketewul.
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.
Benchmark ci biir sargal ak done yu dëggu.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Weyal di banneexu
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Consistency Regularization in Semi-Supervised Learning quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Gis bi ci topp
Jàngale bu ñuy saytu
Laaj yi ñuy faral di laaj
What is Consistency Regularization in Semi-Supervised Learning?
Regularisation bu méngoo dafay jàngal benn model mu joxe benn tontu sudee dañu perturbé ab input buñu etiketewul ci anam wu ndaw, etiket-preservation. Daf lay may nga jàngee ci ay done yu bari te amul etiketu, wàññi bu baax limu misaali etiketu loxo yi nga soxla.
Ban xalaat bu am solo la regularisasioŋ bu dëppoo sukkandikoo?
Xeetu xam-xam bi dafay xalaat ni nudging ab dugal ci anam wu soppiwul etiketam dëgg warul soppi génnug model bi, moo tax dafay yar wuute yi ci waxtaan yi ci biir gis-gis yu yokk yi.
Ci anamu Jàngalekat bu Moyen, fan la mébet yiy méngoo di jogee?
Jàngalekat bu yam dafay jëfandikoo 'jàngalekat' bu poid yi nekk moyenne exponentielle buy toxu ci poid 'ndongo yi', loolu mooy defar ay mébet yu gëna dëgër ngir ñàkka dëppoo.
Lan moo tax FixMatch di tëral benn yamaleg wóolu ci pseudo-etiket yi?
Sooy tëye pseudo-label sudee xam-xam bi gëna néew doole wóorna, FixMatch dafay tere model bi tàggat ci njuumteem yu wóorul yi.
Ci wàllu geometrie, regularisasioŋ bu méngoo dafay push dogal bi ci ban xeetu gox?
Ñàkkaale xam-xam bu dëgër ci suufu perturbation dafay tere ay pexe dagg ci biir grupu yu dëgër, nudging leen ci bërëb yu néew densité.
Lan la 'stop-gradient' bi ci benn bànxaas di def?
Stop-gradient dafay tax benn gis-gis nekk luñuy wut, beneen gis-gis bi ñu tàggat ngir mu méngoo, loolu dafay dakkal tàggat bi ba noppi moytu mabb bu amul benn njariñ.