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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 8976–9000 of 9051 papers

TitleStatusHype
Using Audio Books for Training a Text-to-Speech System—0
PanLex: Building a Resource for Panlingual Lexical Translation—0
On Paraphrase Identification Corpora—0
Languagesindanger.eu - Including Multimedia Language Resources to disseminate Knowledge and Create Educational Material on less-Resourced Languages—0
Majority Vote of Diverse Classifiers for Late Fusion—0
How to partition diversityCode0
How Many Topics? Stability Analysis for Topic ModelsCode1
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace—0
Pseudo-Zernike Based Multi-Pass Automatic Target Recognition From Multi-Channel SAR—0
Resolving Multi-path Interference in Time-of-Flight Imaging via Modulation Frequency Diversity and Sparse Regularization—0
Social and Semantic Diversity: Socio-semantic Representation of a Scientific Corpus—0
Towards a computational model of grammaticalization and lexical diversity—0
Becoming More Robust to Label Noise with Classifier Diversity—0
Learning the Parameters of Determinantal Point Process Kernels—0
Diffusion Least Mean Square: Simulations—0
Quantifying literature quality using complexity criteria—0
Compositional Operators in Distributional Semantics—0
Variations on Memetic Algorithms for Graph Coloring Problems—0
Generalized Ambiguity Decomposition for Understanding Ensemble Diversity—0
A Review on Automated Brain Tumor Detection and Segmentation from MRI of Brain—0
Probabilistic models of genetic variation in structured populations applied to global human studiesCode0
Impact of Corpus Diversity and Complexity on NER Performance—0
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints—0
Complexity measurement of natural and artificial languages—0
Replica Exchange using q-Gaussian Swarm Quantum Particle Intelligence Method—0
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