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Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
JuntaoLi, RuidanHe, HaiYe....
Published date-11/23/2020
DomainAdaptation, LanguageModelling, MutualInformationEstimation, UnsupervisedDomainAdaptation
Recent research indicates that pretraining cross-lingual language models on large-scale unlabeled texts yields significant performance improvements over various cross-lingual and low-resource tasks. Through training on one hundred languages and terabytes …
Discovering Causal Structure with Reproducing-Kernel Hilbert Space $ε$-Machines
NicolasBrodu, JamesP.Crutchfield....
Published date-11/23/2020
We merge computational mechanics' definition of causal states (predictively-equivalent histories) with reproducing-kernel Hilbert space (RKHS) representation inference. The result is a widely-applicable method that infers causal structure directly from observations …
Evolutionary Planning in Latent Space
ThorV.A.N.Olesen, DennisT.T.Nguyen, RasmusBergPalm....
Published date-11/23/2020
Planning is a powerful approach to reinforcement learning with several desirable properties. However, it requires a model of the world, which is not readily available in many real-life problems. In …
End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics
CarlosMauricioVillegasBurgos, TianqiYang, NickVamivakas....
Published date-11/23/2020
Deep learning using Convolutional Neural Networks (CNNs) has been shown to significantly out-performed many conventional vision algorithms. Despite efforts to increase the CNN efficiency both algorithmically and with specialized hardware, …
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4
J.deCurtó, R.Duvall....
Published date-11/23/2020
StyleTransfer
Generative Adversarial Networks (GANs) have had tremendous applications in Computer Vision. Yet, in the context of space science and planetary exploration the door is open for major advances. We introduce …
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
MartinKolarik, RadimBurget, CarlosM.Travieso-Gonzalez....
Published date-11/23/2020
LesionSegmentation, TransferLearning
We present a novel approach of 2D to 3D transfer learning based on mapping pre-trained 2D convolutional neural network weights into planar 3D kernels. The method is validated by the …