37th International Conference on Machine Learning (ICML 2020) online, 13-18 July 2020 Part 14 of 15

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Bibliographische Detailangaben
Körperschaften: International Conference on Machine Learning (VerfasserIn), International Machine Learning Society (Herausgebendes Organ)
Weitere Verfasser: Daumé, Hal (HerausgeberIn), Singh, Aarti (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Red Hook, NY Curran Associates, Inc. 2021
Schriftenreihe:Proceedings of machine learning research volume 119
Schlagworte:
Konferenzschrift
Online Zugang:Inhaltsverzeichnis
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Titel Jahr Verfasser
BATCH STATIONARY DISTRIBUTION ESTIMATION 2021 Wen, Junfeng
DOMAIN AGGREGATION NETWORKS FOR MULTI-SOURCE DOMAIN ADAPTATION 2021 Wen, Junfeng
TOWARDS UNDERSTANDING THE REGULARIZATION OF ADVERSARIAL ROBUSTNESS ON NEURALNETWORKS 2021 Wen, Yuxin
PREDICTIVE SAMPLING WITH FORECASTING AUTOREGRESSIVE MODELS 2021 Wiggers, Auke
CAUSAL INFERENCE USING GAUSSIAN PROCESSES WITH STRUCTURED LATENT CONFOUNDERS 2021 Witty, S.
IS LOCAL SGD BETTER THAN MINIBATCH SGD? 2021 Woodworth, B.
SEQUENCE GENERATION WITH MIXED REPRESENTATIONS 2021 Wu, Lijun
ADVERSARIAL ROBUSTNESS VIA RUNTIME MASKING AND CLEANSING 2021 Wu, Y.
ON THE GENERALIZATION EFFECTS OF LINEAR TRANSFORMATIONS IN DATA AUGMENTATION 2021 Wu, S.
ON VARIATIONAL LEARNING OF CONTROLLABLE REPRESENTATIONS FOR TEXT WITHOUT SUPERVISION 2021 Xu, P.
UNDERSTANDING AND STABILIZING GANS' TRAINING DYNAMICS USING CONTROL THEORY 2021 Xu, Kun
LEARNING FACTORIZED WEIGHT MATRIX FOR JOINT FILTERING 2021 Xu, Xiangyu
VARIATIONAL LABEL ENHANCEMENT 2021 Xu, Ning
METAFUN: META-LEARNING WITH ITERATIVE FUNCTIONAL UPDATES 2021 Xu, Jin
ENERGY-BASED PROCESSES FOR EXCHANGEABLE DATA 2021 Yang, Sherry
IMPROVING MOLECULAR DESIGN BY STOCHASTIC ITERATIVE TARGET AUGMENTATION 2021 Yang, K.
INTERPOLATION BETWEEN RESIDUAL AND NON-RESIDUAL NETWORKS 2021 Yang, Zonghan
RETHINKING BIAS-VARIANCE TRADE-OFF FOR GENERALIZATION OF NEURAL NETWORKS 2021 Yang, Zitong
UNSUPERVISED TRANSFER LEARNING FOR SPATIOTEMPORAL PREDICTIVE NETWORKS 2021 Yao, Zhiyu
GRAPH-BASED, SELF-SUPERVISED PROGRAM REPAIR FROM DIAGNOSTIC FEEDBACK 2021 Yasunaga, Michihiro
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