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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 3876–3900 of 9051 papers

TitleStatusHype
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models—0
Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling—0
GANzilla: User-Driven Direction Discovery in Generative Adversarial Networks—0
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection—0
Exploiting Angular Multiplexing for Polarization-diversity in Off-axis Digital Holography—0
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition—0
Gaussian Affinity for Max-Margin Class Imbalanced Learning—0
Compositional Operators in Distributional Semantics—0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences—0
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images—0
Compositional Fine-Grained Low-Shot Learning—0
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction—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
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets—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
Planner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization—0
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