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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 8801–8825 of 9051 papers

TitleStatusHype
Site-specific recombinatorics: in situ cellular barcoding with the Cre Lox system—0
Progress towards quantitative design principles of multicellular systems—0
A multilayer PPI network analysis of different life stages in C. elegans—0
Bayesian identification of bacterial strains from sequencing dataCode0
Low-Rank Factorization of Determinantal Point Processes for RecommendationCode0
A tool for computing diversity and consideration on differences between diversity indices—0
Generating Discriminative Object Proposals via Submodular Ranking—0
Homogeneity of Cluster Ensembles—0
Daleel: Simplifying Cloud Instance Selection Using Machine Learning—0
An ensemble diversity approach to supervised binary hashing—0
Font Identification in Historical Documents Using Active Learning—0
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural ImagesCode0
Improved Spoken Document Summarization with Coverage Modeling Techniques—0
A Simple Measure of Economic Complexity—0
Toward a Robust Diversity-Based Model to Detect Changes of Context—0
Mutual Information and Diverse Decoding Improve Neural Machine TranslationCode0
Optimal Selective Attention in Reactive Agents—0
Diversity Enhancement for Micro-Differential Evolution—0
Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization—0
Feature Selection for Classification under Anonymity Constraint—0
Shannon Mutual Information Applied to Genetic Systems—0
MovieQA: Understanding Stories in Movies through Question-AnsweringCode0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination—0
Understanding Everyday Hands in Action From RGB-D Images—0
Inferring M-Best Diverse Labelings in a Single One—0
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