"Just"的相关文档

Just Train Twice Improving Group Robustness without Training Group Information
JustTrainTwice:ImprovingGroupRobustnesswithoutTrainingGroupInformationEvanZheranLiu1BehzadHaghgoo1AnnieS.Chen1AditiRaghunathan1PangWeiKoh1ShioriSagawa1PercyLiang1ChelseaFinn1Abstractcanbeespecially...
Group without Improving Just Robustness
2023-11-16 18:47:058971.84 MB17
下载文档
Just How Toxic is Data Poisoning A Unified Benchmark for Backdoor and Data Poisoning Attacks
JustHowToxicisDataPoisoning?AUniﬁedBenchmarkforBackdoorandDataPoisoningAttacksAviSchwarzschild1MicahGoldblum2ArjunGupta3JohnP.Dickerson2TomGoldstein2AbstractAtthisscale,itisofteninfeasibletoproper...
Data How is Just Unified
2023-11-16 18:47:051475528.98 KB19
下载文档
Don’t Just Blame Over-parametrization for Over-confidence Theoretical Analysis of Calibration in Binary Classification
Don’tJustBlameOver-parametrizationforOver-conﬁdence:TheoreticalAnalysisofCalibrationinBinaryClassiﬁcationYuBai1SongMei2HuanWang1CaimingXiong1AbstractWideResNetonImageNetRealizableLogisticRegress...
for Just Theoretical Don Over-parametrization
2023-11-16 18:30:4916915.36 MB19
下载文档
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
BeingBayesian,EvenJustaBit,FixesOverconﬁdenceinReLUNetworksAgustinusKristiadi1MatthiasHein1PhilippHennig12Abstract2016).Themostobviouscasesaretestpointsthatlie“faraway”fromthetrainingdata.Manyme...
Bayesian Being Just Fixes Even
2023-11-14 21:43:141257744.03 KB5
下载文档
Just Sort It! A Simple and Effective Approach to Active Preference Learning
JustSortIt!ASimpleandEffectiveApproachtoActivePreferenceLearningLucasMaystre1MatthiasGrossglauser1Abstractchosencomparisonsaresufﬁcient.Inthiswork,wedemon-stratethatsortingalgorithmscanalsobehelpf...
IT and simple Approach Just
2023-11-12 20:44:35647244.01 KB5
下载文档

首页上页 1 下页尾页

Just Train Twice Improving Group Robustness without Training Group Information

Just How Toxic is Data Poisoning A Unified Benchmark for Backdoor and Data Poisoning Attacks

Don’t Just Blame Over-parametrization for Over-confidence Theoretical Analysis of Calibration in Binary Classification

Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks

Just Sort It! A Simple and Effective Approach to Active Preference Learning