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标签“Loss”的相关文档，共33条

Tilting the playing field Dynamical Loss functions for machine learning
Tiltingtheplayingﬁeld:DynamicalLossfunctionsformachinelearningMiguelRuiz-Garcia12GeZhang1SamuelS.Schoenholz3AndreaJ.Liu1Abstracttionscale(Glorot&Bengio,2010;Xiaoetal.,2018)orlearningrateschedule(H...
the Functions Loss Dynamical Field
2023-11-16 19:42:0811171.23 MB21
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Three Operator Splitting with a Nonconvex Loss Function
ThreeOperatorSplittingwithaNonconvexLossFunctionAlpYurtsever1VarunMangalick1SuvritSra1Abstract2007),incertaintransportandassignmentproblems(Koop-mans&Beckmann,1957;Peyre´etal.,2019),amongcount-Wec...
with Operator Loss Splitting Nonconvex
2023-11-16 19:42:071605973.2 KB24
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The Earth Mover’s Pinball Loss Quantiles for Histogram-Valued Regression
TheEarthMover’sPinballLoss:QuantilesforHistogram-ValuedRegressionFlorianList1AbstractFigure1.ComicofourmethodforDeepLearning-basedhistogramregression:aneuralnetwork(NN)fθwithweightsθistrainedAlt...
for the Loss Earth Mover
2023-11-16 19:42:0510133.09 MB4
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Principal Bit Analysis Autoencoding with Schur-Concave Loss
PrincipalBitAnalysis:AutoencodingwithSchur-ConcaveLossSourbhBhadane1AaronB.Wagner1JayadevAcharya1Abstractandgareselectedthroughtrainingfromtheclassoffunc-Weconsideralinearautoencoderinwhichthetions...
with Analysis Principal Loss Bit
2023-11-16 19:28:301575596.05 KB1
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Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
LowerBoundsonCross-EntropyLossinthePresenceofTest-timeAdversariesArjunNitinBhagoji1DanielCullina2VikashSehwag3PrateekMittal3Abstractonestablishingfundamentalboundsonlearninginthepres-enceoftest-tim...
on the in bounds Loss
2023-11-16 19:05:11551344.13 KB23
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Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
LossSurfaceSimplexesforModeConnectingVolumesandFastEnsemblingGregoryW.Benton1WesleyJ.Maddox1SanaeLotﬁ1AndrewGordonWilson1Abstract✓1<latexitsha1_base64="b2Ff/oUFJw0eznxXS1RygRK2bZk=">AAAB73icbVBNS...
for Loss Surface Mode Connecting
2023-11-16 19:05:106452.29 MB29
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Leveraged Weighted Loss for Partial Label Learning
LeveragedWeightedLossforPartialLabelLearning1HongweiWen2JingyiCui1HanyuanHang2JiabinLiu3YisenWang1ZhouchenLin14Abstract2012),etc,andsubsequentlyattractsalotofattentiononmethodologystudies(Fengetal....
Learning for Loss Partial Label
2023-11-16 19:05:061189566.72 KB23
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Mixed Cross Entropy Loss for Neural Machine Translation
MixedCrossEntropyLossforNeuralMachineTranslationHaoranLi1WeiLu1AbstractSourceDieGeburtenrategehtweiterzurück.one-hotmodelgroundpredictiontruthInneuralmachinetranslation,crossentropy(CE)isthestanda...
Neural for Machine Loss Entropy
2023-11-16 19:04:5610931.53 MB13
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How Does Loss Function Affect Generalization Performance of Deep Learning Application to Human Age Estimation
HowDoesLossFunctionAffectGeneralizationPerformanceofDeepLearning?ApplicationtoHumanAgeEstimationAliAkbari1MuhammadAwais1ManijehBashar2JosefKittler1Abstractconditions,cameraquality,headpose,makeupap...
How generalization Loss Function Performance
2023-11-16 18:46:571526507.17 KB22
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Geometry of the Loss Landscape in Overparameterized Neural Networks Symmetries and Invariances
GeometryoftheLossLandscapeinOverparameterizedNeuralNetworks:SymmetriesandInvariancesBerﬁnS¸ims¸ek12Franc¸oisGed1ArthurJacot1FrancescoSpadaro1Cle´mentHongler1WulframGerstner2JohanniBrea2Abstrac...
of the in Geometry Loss
2023-11-16 18:46:4719121.46 MB25
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Discriminative Complementary-Label Learning with Weighted Loss
DiscriminativeComplementary-LabelLearningwithWeightedLossYiGao12Min-LingZhang23Abstracttion,includingbutnotlimitedto,semi-supervisedlearning(Chapelleetal.,2006;Oliveretal.,2018;Calderetal.,Compleme...
Learning with Loss Weighted Complementary-Label
2023-11-16 18:31:108211.66 MB24
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Conditional Temporal Neural Processes with Covariance Loss
ConditionalTemporalNeuralProcesseswithCovarianceLossBoseonYoo1JiwooLee2JanghoonJu2SeijunChung1SoyeonKim1JaesikChoi13Abstractducedin(Garneloetal.,2018a),whicharethenoveleffortsthatimplementsuchGPswi...
Neural with Conditional Processes Loss
2023-11-16 18:11:256046.12 MB14
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Asymmetric Loss Functions for Learning with Noisy Labels
AsymmetricLossFunctionsforLearningwithNoisyLabelsXiongZhou12XianmingLiu12JunjunJiang12XinGao32XiangyangJi4AbstractToalleviatetheimpactoflabelnoisetoclassiﬁerlearning,onepopularresearchlineistodesi...
Learning for with Asymmetric Functions
2023-11-16 18:00:176835 MB24
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Supervised learning no Loss no cry
SupervisedLearning:NoLossNoCryRichardNock12AdityaKrishnaMenon3Abstractthegoalwastolearninpolynomialtimeafunctionbeingabletopredictalabel(orclass,amongtwopossible)forSupervisedlearningrequiresthespe...
Learning Supervised Loss No Cry
2023-11-14 21:46:3914032.01 MB16
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Peer Loss Functions Learning from Noisy Labels without Knowing Noise Rates
PeerLossFunctions:LearningfromNoisyLabelswithoutKnowingNoiseRatesYangLiu1HongyiGuo2Abstracttensivepriorworksintheliteraturethataimtodevelopal-gorithmstolearnmodelsthatarerobusttolabelnoise(By-Learn...
Learning from Functions Loss Labels
2023-11-14 21:45:4912581.28 MB10
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Normalized Loss Functions for Deep Learning with Noisy Labels
NormalizedLossFunctionsforDeepLearningwithNoisyLabelsXingjunMa1HanxunHuang1YisenWang2SimoneRomanoSarahErfani1JamesBailey1Abstract2018;Hanetal.,2018b);and4)robustLossfunctionsthatareinherentlytolera...
Learning for with Deep Functions
2023-11-14 21:45:2511685.31 MB9
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Neural Architecture Search in a Proxy Validation Loss Landscape
NeuralArchitectureSearchinAProxyValidationLossLandscapeYanxiLi1MinjingDong1YunheWang2ChangXu1Abstractwhichshowapromisingfutureofthisﬁeld.Althoughhard-wareperformancehasimproved,NASisstillcomputati...
Neural in Search Loss Architecture
2023-11-14 21:45:211838454.38 KB26
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Loss Function Search for Face Recognition
LossFunctionSearchforFaceRecognitionXiaoboWang1ShuoWang1ChengChi2ShifengZhang2TaoMei1AbstractGenerally,theCNNsareequippedwithclassiﬁcationLossfunctions(Liuetal.,2017;Wangetal.,2018f;Chenetal.,Infa...
for Search Loss Recognition Function
2023-11-14 21:45:047671.19 MB9
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Feature Noise Induces Loss Discrepancy Across Groups
FeatureNoiseInducesLossDiscrepancyAcrossGroupsFereshteKhani1PercyLiang1Abstractdiscrepancy(Liptonetal.,2018)andadverselong-termimpacts(Liuetal.,2018).Therefore,itisimportanttoTheperformanceofstanda...
Feature Loss Noise Across Groups
2023-11-14 21:44:121321899.16 KB2
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Eliminating the Invariance on the Loss Landscape of Linear Autoencoders
EliminatingtheInvarianceontheLossLandscapeofLinearAutoencodersRezaOftadeh1JiayiShen1ZhangyangWang1DylanShell1Abstractgenerallythecategorizationofextremepoints,hasﬂour-ished.Muchworkextendstheresul...
of on the Loss Invariance
2023-11-14 21:44:01887580.69 KB20
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