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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 2326–2350 of 9051 papers

TitleStatusHype
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Are generative models fair? A study of racial bias in dermatological image generation—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
Diversity Analysis for Indoor Terahertz Communication Systems under Small-Scale Fading—0
Diversity and coevolutionary dynamics in high-dimensional phenotype spaces—0
Diversity and Inclusion Index with Networks and Similarity: Analysis and its Application—0
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code—0
Coreference Resolution: Are the eliminated spans totally worthless?—0
CodeFusion: A Pre-trained Diffusion Model for Code Generation—0
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding—0
Are Easy Data Easy (for K-Means)—0
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?—0
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms—0
Diversifying Sparsity Using Variational Determinantal Point Processes—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
A Reduction Approach to Constrained Reinforcement Learning—0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling—0
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images—0
Neuronal and structural differentiation in the emergence of abstract rules in hierarchically modulated spiking neural networks—0
Coalescent dynamics of planktonic communities—0
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