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WikiAsp: A Dataset for Multi-domain Aspect-based Summarization


Authors:  HiroakiHayashi, PrashantBudania, PengWang....
Published date-11/16/2020

Abstract: Aspect-based summarization is the task of generating focused summaries based on specific points of interest. Such summaries aid efficient analysis of text, such as quickly understanding reviews or opinions from …

Quantum deep field: data-driven wave function, electron density generation, and atomization energy prediction and extrapolation with machine learning


Authors:  MasashiTsubaki, TeruyasuMizoguchi....
Published date-11/16/2020

Abstract: Deep neural networks (DNNs) have been used to successfully predict molecular properties calculated based on the Kohn--Sham density functional theory (KS-DFT). Although this prediction is fast and accurate, we believe …

Mixing ADAM and SGD: a Combined Optimization Method


Authors:  NicolaLandro, IgnazioGallo, RiccardoLaGrassa....
Published date-11/16/2020
Tasks:  DocumentClassification

Abstract: Optimization methods (optimizers) get special attention for the efficient training of neural networks in the field of deep learning. In literature there are many papers that compare neural models trained …

Scaled-YOLOv4: Scaling Cross Stage Partial Network


Authors:  Chien-YaoWang, AlexeyBochkovskiy, Hong-YuanMarkLiao....
Published date-11/16/2020
Tasks:  ObjectDetection, Real-TimeObjectDetection

Abstract: We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal …

Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution


Authors:  SantiagoLópez-Tapia, NicolásPérezdelaBlanca....
Published date-11/16/2020
Tasks:  Deblurring, ImageSuper-Resolution, SuperResolution, Super-Resolution

Abstract: Single Image Super-Resolution (SISR) is one of the low-level computer vision problems that has received increased attention in the last few years. Current approaches are primarily based on harnessing the …

Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts


Authors:  KairitSirts, KairitPeekman....
Published date-11/16/2020
Tasks:  Tokenization

Abstract: Texts obtained from web are noisy and do not necessarily follow the orthographic sentence and word boundary rules. Thus, sentence segmentation and word tokenization systems that have been developed on …

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