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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 8651–8675 of 9051 papers

TitleStatusHype
Diverse Weighted Bipartite b-MatchingCode0
Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational CostsCode0
Unsupervised Diverse Colorization via Generative Adversarial NetworksCode0
PixelNet: Representation of the pixels, by the pixels, and for the pixelsCode0
Latent Variable Dialogue Models and their DiversityCode0
Parent Oriented Teacher Selection Causes Language Diversity—0
CityPersons: A Diverse Dataset for Pedestrian DetectionCode1
Network Flow Based Post Processing for Sales Diversity—0
Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means—0
Concept Drift Adaptation by Exploiting Historical Knowledge—0
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification—0
Diversity of meso-scale architecture in human and non-human connectomes—0
Diversity and coevolutionary dynamics in high-dimensional phenotype spaces—0
Learning what matters - Sampling interesting patterns—0
Information-theoretic interpretation of tuning curves for multiple motion directions—0
Autocatalytic Sets and RNA Secondary Structure—0
Historic Emergence of Diversity in Painting: Heterogeneity in Chromatic Distance in Images and Characterization of Massive Painting Data Set—0
Training Group Orthogonal Neural Networks with Privileged Information—0
Characterisation of speech diversity using self-organising maps—0
FASTdoop: a versatile and efficient library for the input of FASTA and FASTQ files for MapReduce Hadoop bioinformatics applicationsCode0
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity—0
Generalisation in Named Entity Recognition: A Quantitative Analysis—0
Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models—0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis—0
Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms—0
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