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Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints


Authors:  DanielFernández-Sánchez, EduardoC.Garrido-Merchán, DanielHernández-Lobato....
Published date-11/02/2020

Abstract: We present MESMOC, a Bayesian optimization method that can be used to solve constrained multi-objective problems when the objectives and the constraints are expensive to evaluate. MESMOC works by minimizing …

A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English


Authors:  MariusMosbach, StefaniaDegaetano-Ortlieb, Marie-PaulineKrielke....
Published date-11/02/2020

Abstract: Transformer-based language models achieve high performance on various tasks, but we still lack understanding of the kind of linguistic knowledge they learn and rely on. We evaluate three models (BERT, …

Learning in the Wild with Incremental Skeptical Gaussian Processes


Authors:  AndreaBontempelli, StefanoTeso, FaustoGiunchiglia....
Published date-11/02/2020
Tasks:  GaussianProcesses

Abstract: The ability to learn from human supervision is fundamental for personal assistants and other interactive applications of AI. Two central challenges for deploying interactive learners in the wild are the …

Diverse Image Captioning with Context-Object Split Latent Spaces


Authors:  ShwetaMahajan, StefanRoth....
Published date-11/02/2020
Tasks:  ImageCaptioning, LatentVariableModels

Abstract: Diverse image captioning models aim to learn one-to-many mappings that are innate to cross-domain datasets, such as of images and texts. Current methods for this task are based on generative …

Noise-Contrastive Estimation for Multivariate Point Processes


Authors:  HongyuanMei, TomWan, JasonEisner....
Published date-11/02/2020
Tasks:  PointProcesses

Abstract: The log-likelihood of a generative model often involves both positive and negative terms. For a temporal multivariate point process, the negative term sums over all the possible event types at …

Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs


Authors:  XingangPan, BoDai, ZiweiLiu....
Published date-11/02/2020
Tasks:  3DShapeReconstruction

Abstract: Natural images are projections of 3D objects on a 2D image plane. While state-of-the-art 2D generative models like GANs show unprecedented quality in modeling the natural image manifold, it is …

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