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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 3901–3925 of 9051 papers

TitleStatusHype
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation—0
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers—0
Compositional Fine-Grained Low-Shot Learning—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
Explaining Search Result Stances to Opinionated People—0
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems—0
Agricultural Economics and Innovation in the Inca Empire—0
Generalising sequence models for epigenome predictions with tissue and assay embeddings—0
Active Inference and Human--Computer Interaction—0
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic—0
Compositional diversity in visual concept learning—0
Expert-Guided Symmetry Detection in Markov Decision Processes—0
ExpertGenQA: Open-ended QA generation in Specialized Domains—0
Generalization in Mean Field Games by Learning Master Policies—0
Generalization in medical AI: a perspective on developing scalable models—0
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation—0
Planner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization—0
Generalization to Out-of-Distribution transformations—0
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis—0
Generalized Coordinated Multipoint Framework for 5G and Beyond—0
Expert-Agnostic Learning to Defer—0
Experiments on Generalizability of BERTopic on Multi-Domain Short Text—0
Composite Indicator-Guided Infilling Sampling for Expensive Multi-Objective Optimization—0
Experiments on a Guarani Corpus of News and Social Media—0
Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport—0
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