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CUPED Variance Reduction
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Nhungamiro yehunyanzvi
Barlow Twins inzira yekuzvitarisira iyo inodzidza zvinomiririra nekugadzira iyo muchinjiko-yekubatanidza matrix pakati pemaonero maviri akawedzerwa padyo neanozivikanwa matrix.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Iyo inodzivirira kudonha kuburikidza nemusimboti wekudzikisa-kuderedza kwete zvakaipa kana kukurumidza encoder.
Yakakurudzirwa neFacebook AI muna 2021 uye yakatumidzwa zita reunyanzvi H. Barlow's redundancy-reduction musimboti, Barlow Twins anodyisa maonero maviri akamonyaniswa emufananidzo kuburikidza nemanetiweki akafanana kuti abudise mabheji maviri ekumisikidza. Iyo inoverengera muchinjiko-yekubatanidza matrix pakati pezvikamu zveaya maviri ekumisikidza mavheti, akayerwa pane batch. Chinangwa chinosundira iyi matrix kune kuzivikanwa: diagonal entries inofanirwa kunge iri 1 (chimwe nechimwe chinopesana nekuwedzera) uye off-diagonal zvinyorwa zvinofanirwa kuve 0 (akasiyana maficha akashongedzwa, achidzikisa redundancy). Izwi re-on-diagonal rinosimbisa kusagadzikana; iyo off-diagonal redundancy-reduction term inodzivirira kudonha nekuti zvakashongedzwa hazvigone kufanana zvese. Kusiyana neBYOL haidi asymmetry, predictor, kana stop-gradient, uye kusiyana neSimCLR haidi mapeya asina kunaka, kunyange zvazvo inobatsira kubva kune yakakwirira-dimensional embeddings.
Kufanodzidzira maencoder emifananidzo anoburitsa akashongedzwa maficha anobatsira kuzasi kwerukova ine data shoma yakanyorwa.
Kudzidzira pane zvine mwero Hardware uko mabhechi makuru asina kunaka haashande, sezvo Barlow Mapatya asinganzwisisike batch-saizi.
Kugadzira compact, isiri-yakaiswa embeddings ye clustering kana anomaly kuonekwa muindasitiri sensor imagery.
Kushanda seyakazvitarisisa yega yekutanga mukutsvaga uchienzanisa kudonha-yekunzvenga nzira muSimCLR, BYOL, uye VICReg.
Barlow Twins akabatsira kumutsa mhuri yeruzivo-yedzidziso yekuzvitarisira nzira, kunyanya VICReg, iyo inoparadzanisa musiyano, invariance, uye covariance mazwi zvakajeka. Tarisira kuderedzwa-kuderedzwa uye kushongedza-kushongedza zvinangwa kuti urambe uchizivisa maitiro atinoita maencoder anoburitsa compact, asinga-redundant maficha, uye kuwedzera kupfuura mifananidzo kuva multimodal uye nguva-yakatevedzana marongero apo akashongedzwa, akasimba anomiririra anobatsira ezasi mamodheru kudzidza kubva kune mashoma mavara.
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Barlow Twins inzira yekuzvitarisira iyo inodzidza zvinomiririra nekugadzira iyo muchinjiko-yekubatanidza matrix pakati pemaonero maviri akawedzerwa padyo neanozivikanwa matrix. Iyo inodzivirira kudonha kuburikidza nemusimboti wekudzikisa-kuderedza kwete zvakaipa kana kukurumidza encoder.
The method forms a cross-correlation matrix from representations of two distorted views.
The paper defines the objective by making the cross-correlation matrix close to identity.
The diagonal term encourages invariance between matching feature components.
The method reduces redundancy by pushing off-diagonal correlations toward zero.
The original Barlow Twins paper describes avoiding negatives and matching the cross-correlation matrix to identity.
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InoteveraGaidhi rinotevera
CUPED Variance Reduction
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