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Found 8 papers, 3 papers with code
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections
Summarizing data samples by quantitative measures has a long history, with descriptive statistics being a case in point.
Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators
However, the GAN-based SR methods only use image discriminator to distinguish SR images and high-resolution (HR) images.
Personalized Dialogue Generation with Diversified Traits
In this paper, we investigate the problem of incorporating explicit personality traits in dialogue generation to deliver personalized dialogues.
Quantifying Context Overlap for Training Word Embeddings
Most models for learning word embeddings are trained based on the context information of words, more precisely first order co-occurrence relations.
Statistical Parametric Speech Synthesis Using Generative Adversarial Networks Under A Multi-task Learning Framework
In this paper, we aim at improving the performance of synthesized speech in statistical parametric speech synthesis (SPSS) based on a generative adversarial network (GAN).
Sound
Learning Entity and Relation Embeddings for Knowledge Graph Completion
Knowledge graph completion aims to perform link prediction between entities.
