Overview
Sharpness-Aware Minimization (SAM) inzira yekusimudzira isingatsvage kurasikirwa kwakaderera asi kurasikirwa kwakaderera munzvimbo yese yehuremu - hushoma hwakadzika. Flatter minima inowanzoita generalize zvirinani, saka SAM inowanzovandudza bvunzo kurongeka uye kusimba pasina kushandura modhi yekuvaka.
Sharpness-Aware Minimization inzvimbo yekuvaka yehunyanzvi inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Kudzidziswa kwakajairwa kunoderedza kurasikirwa panzvimbo imwe chete munzvimbo yehuremu, asi mhinduro mbiri dzine kurasikirwa kwekudzidziswa kwakafanana dzinogona kuita zvakasiyana: 'yakapinza' hushoma hunogara mumupata wakamanikana umo huturu hwehuremu hunowedzera kurasikirwa, nepo 'flat' shoma inobvumira kukanganisa uye kazhinji inogadzirisa zvirinani kune data risingaonekwe. SAM, yakaunzwa neGoogle vatsvakurudzi muna 2020, inoita kuti izvi zvive pachena. Panhanho imwe neimwe inotanga yawana huremu hwepedyo (mukati meradius rho) iyo inowedzera kurasikirwa - muvakidzani wakaipisisa - yobva yagadzirisa huremu hwepakutanga kuderedza kurasikirwa panzvimbo iyoyo. Iyi min-max chinangwa inosundira optimization kumatunhu akadzikira zvakafanana, achipa zvinooneka zvirinani kurongwa kwemifananidzo uye kupfuura.
Technical Insight
Nhanho imwe neimwe yeSAM inopfuura mbiri. Chekutanga, verenga gradient pazviremu zvazvino uye tora 'kukwira' nhanho yehukuru rho munzira yegradient kuti usvike yakaipisisa-kesi nzvimbo iri padyo. Chechipiri, verenga gradient panzvimbo iyoyo yakakanganisika woishandisa kugadzirisa huremu hwepakutanga. Iyo radius rho inodzora kukura kwenharaunda yaunodzivirira kwairi. Mutengo wacho ungangoita maviri ekumberi-kumashure anopfuura padanho, izvo zvakapetwa kaviri compute - iyo huru inoshanda drawback.
Mastering Sharpness-Aware Minimization
Sharpness-Aware Minimization (SAM) inzira yekusimudzira isingatsvage kurasikirwa kwakaderera asi kurasikirwa kwakaderera munzvimbo yese yehuremu - hushoma hwakadzika. Flatter minima inowanzoita generalize zvirinani, saka SAM inowanzovandudza bvunzo kurongeka uye kusimba pasina kushandura modhi yekuvaka. Sharpness-Aware Minimization inzvimbo yekuvaka yehunyanzvi inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuvaka kunzwisisa kwakadzama, bata Sharpness-Aware Minimization semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvaunoda mhedzisiro, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Sharpness-Aware Minimization inokwidziridza zvivakwa, data, uye sarudzo dzezvivakwa zvinopesana nekuvimbika uye mutengo. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Panguva imwecheteyo, Kukwirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Kuwedzera Vision Transformer uye ResNet kurongeka paImageNet nekudzidziswa neSAM panzvimbo yeSGD yakajeka.
Kuvandudza kusimba kwekuisa ruzha, sezvo flat minima isingawanzo kubata nemusoro mavara akaora.
Kunyatsogadzirisa mamodheru emitauro yakadzidziswa neSAM kuti uwane kujekeswa kuri nani pamaseti madiki ezasi.
Kushandisa ESAM kana LookSAM akasiyana kana iyo yakapetwa kaviri compute mutengo wevanilla SAM uchidhura zvakanyanya.
Maitiro Ekuita
Sharpness-Kuziva Kuderedza mukuita
Kuwedzera Vision Transformer uye ResNet kurongeka paImageNet nekudzidziswa neSAM panzvimbo yeSGD yakajeka.
Kuwedzera Vision Transformer uye ResNet kurongeka paImageNet nekudzidziswa neSAM pachinzvimbo cheSGD Matimu akajeka anowanzo kuwana mibairo iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Sharpness-Kuziva Kuderedza mukuita
Kuvandudza kusimba kwekuisa ruzha, sezvo flat minima isingawanzo kubata nemusoro mavara akaora.
Kuvandudza kusimba kwekuisa ruzha, sezvo flat minima isinganyanye kubata nemusoro mavara akaora Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura hunhu hwepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Sharpness-Kuziva Kuderedza mukuita
Kunyatsogadzirisa mamodheru emitauro yakadzidziswa neSAM kuti uwane kujekeswa kuri nani pamaseti madiki ezasi.
Kunyatso gadziridza mamodheru emitauro neSAM kuti uwane hunyanzvi hwekuwedzera pane madiki akadzika dhataseti Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangudza mhando kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Sharpness-Kuziva Kuderedza mukuita
Kushandisa ESAM kana LookSAM akasiyana kana iyo yakapetwa kaviri compute mutengo wevanilla SAM uchidhura zvakanyanya.
Uchishandisa ESAM kana LookSAM akasiyana kana iyo yakapetwa kaviri compute mutengo wevanilla SAM yakanyanya kudhura Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Implementation Roadmap
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Benchmark pasi pechokwadi mutoro uye data mamiriro.
Benchmark pasi pechokwadi mutoro uye data mamiriro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.