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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 8501–8525 of 9051 papers

TitleStatusHype
Diversity-Promoting Bayesian Learning of Latent Variable Models—0
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors—0
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World—0
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations—0
Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization—0
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions—0
Automatic Generation of News Comments Based on Gated Attention Neural Networks—0
Feedforward Architectures Driven by Inhibitory Interactions—0
Pseudo-positive regularization for deep person re-identification—0
Image Registration of Very Large Images via Genetic Programming—0
Systems, Actors and Agents: Operation in a multicomponent environment—0
Orbital-angular-momentum mode-group multiplexed transmission over a graded-index ring-core fiber based on receive diversity and maximal ratio combining—0
Exploiting ConvNet Diversity for Flooding IdentificationCode0
A Classification-Based Study of Covariate Shift in GAN Distributions—0
A Novel Ensemble Learning Approach to Unsupervised Record Linkage—0
Diversifying Neural Conversation Model with Maximal Marginal Relevance—0
Domain-Adaptable Hybrid Generation of RDF Entity Descriptions—0
Characterizing the structural diversity of complex networks across domains—0
Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss GermanCode0
Complete 3D Scene Parsing from an RGBD ImageCode0
Widespread bursts of diversification in microbial phylogenies—0
BENCHIP: Benchmarking Intelligence Processors—0
The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New LanguagesCode0
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition—0
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and BeyondCode0
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