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Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints
DanielFernández-Sánchez, EduardoC.Garrido-Merchán, DanielHernández-Lobato....
Published date-11/02/2020
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
MariusMosbach, StefaniaDegaetano-Ortlieb, Marie-PaulineKrielke....
Published date-11/02/2020
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
AndreaBontempelli, StefanoTeso, FaustoGiunchiglia....
Published date-11/02/2020
GaussianProcesses
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
ShwetaMahajan, StefanRoth....
Published date-11/02/2020
ImageCaptioning, LatentVariableModels
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
HongyuanMei, TomWan, JasonEisner....
Published date-11/02/2020
PointProcesses
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
XingangPan, BoDai, ZiweiLiu....
Published date-11/02/2020
3DShapeReconstruction
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 …