However, vanilla Adam remains exceptionally popular anditworkswellinpractice.

Neural Information Processing Systems http://nips.cc/

Insuch applications, a team of agents aim to maximize a joint expected utility through a single global reward.

Several methods are proposed to keep on exploiting the correlation of different views. One straightforward way is completing the missing views,andthentheon-shelf multi-viewlearning algorithmscould beadopted. Themissing views are basically blockwise and thus low-rank based completion [12, 13] is not applicable which has been widely recognized [5, 14]. Missing modality imputation methods [15, 5] usually require samples with two paired modalities to train the networks which can predict the missing modality fromtheobservedone.

In this work, we present the first trial in the singlequery generalization of stochastic AUPRC optimization. For sharper generalization bounds, we focus on algorithm-dependent generalization.

QA, a multiple-choice trivia dataset that is parallel in English and Basque.

Successful applications ofInfoNCE (Information Noise-ContrastiveEstimation) and its variants have popularized the use of contrastive variational mutual information (MI) estimators in machine learning.