贝叶斯深度学习:一个统一深度学习和概率图模型的框架( 四 )


#参考文献:
?AsurveyonBayesiandeeplearning.HaoWang,Dit-YanYeung.ACMComputingSurveys(CSUR),2020.?TowardsBayesiandeeplearning:aframeworkandsomeexistingmethods.HaoWang,Dit-YanYeung.IEEETransactionsonKnowledgeandDataEngineering(TKDE),2016.
?Collaborativedeeplearningforrecommendersystems.HaoWang,NaiyanWang,Dit-YanYeung.Twenty-FirstACMSIGKDDConferenceon
KnowledgeDiscoveryandDataMining(KDD),2015.
?Collaborativerecurrentautoencoder:recommendwhilelearningtofillintheblanks.HaoWang,XingjianShi,Dit-YanYeung.ThirtiethAnnual
ConferenceonNeuralInformationProcessingSystems(NIPS),2016.:
?Naturalparameternetworks:aclassofprobabilisticneuralnetworks.HaoWang,XingjianShi,Dit-YanYeung.ThirtiethAnnualConferenceon
NeuralInformationProcessingSystems(NIPS),2016.
?Relationalstackeddenoisingautoencoderfortagrecommendation.HaoWang,XingjianShi,Dit-YanYeung.Twenty-NinthAAAIConferenceonArtificialIntelligence(AAAI),2015.
?Relationaldeeplearning:Adeeplatentvariablemodelforlinkprediction.
HaoWang,XingjianShi,Dit-YanYeung.Thirty-FirstAAAIConferenceonArtificialIntelligence(AAAI),2017.
?Bidirectionalinferencenetworks:AclassofdeepBayesiannetworksforhealthprofiling.
HaoWang,ChengzhiMao,HaoHe,MingminZhao,TommiS.Jaakkola,DinaKatabi.Thirty-ThirdAAAIConferenceonArtificialIntelligence(AAAI),
2019.
?Deeplearningforprecipitationnowcasting:Abenchmarkandanewmodel.XingjianShi,ZhihanGao,LeonardLausen,HaoWang,Dit-YanYeung,
Wai-kinWong,andWang-chunWoo.Thirty-FirstAnnualConferenceonNeuralInformationProcessingSystems(NIPS),2017.
?ConvolutionalLSTMnetwork:Amachinelearningapproachforprecipitationnowcasting.XingjianShi,ZhourongChen,HaoWang,Dit-YanYeung,
Wai-kinWong,Wang-chunWoo.Twenty-NinthAnnualConferenceonNeuralInformationProcessingSystems(NIPS),2015.
?Continuouslyindexeddomainadaptation.HaoWang*,HaoHe*,DinaKatabi.Thirty-SeventhInternationalConferenceonMachineLearning(ICML),
2020.
?Deepgraphrandomprocessforrelational-thinking-basedspeechrecognition.HengguanHuang,FuzhaoXue,HaoWang,YeWang.Thirty-
SeventhInternationalConferenceonMachineLearning(ICML),2020.
?STRODE:Stochasticboundaryordinarydifferentialequation.HengguanHuang,HongfuLiu,HaoWang,ChangXiao,YeWang.Thirty-Eighth
InternationalConferenceonMachineLearning(ICML),2021.
?Delvingintodeepimbalancedregression.YuzheYang,KaiwenZha,YingcongChen,HaoWang,DinaKatabi.Thirty-EighthInternationalConference
onMachineLearning(ICML),2021.
?Adversarialattacksarereversiblewithnaturalsupervision.ChengzhiMao,MiaChiquier,HaoWang,JunfengYang,CarlVondrick.International
ConferenceonComputerVision(ICCV),2021.
?Assessmentofmedicationself-administrationusingartificialintelligence.MingminZhao*,KreshnikHoti*,HaoWang,Aniruddh,Raghu,Dina
Katabi.NatureMedicine,2021.
贝叶斯深度学习:一个统一深度学习和概率图模型的框架
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