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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 2851–2875 of 9051 papers

TitleStatusHype
Diversity Covariance-Aware Prompt Learning for Vision-Language Models—0
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation—0
Domain Generalization with MixStyle—0
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation—0
Domain-invariant Feature Exploration for Domain Generalization—0
Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization—0
Diversity by Phonetics and its Application in Neural Machine Translation—0
Domain Randomization via Entropy Maximization—0
Advances in Multi-turn Dialogue Comprehension: A Survey—0
Building and curating conversational corpora for diversity-aware language science and technology—0
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant—0
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning—0
A Comparative Study of Image-to-Image Translation Using GANs for Synthetic Child Race Data—0
Domain-wise Adversarial Training for Out-of-Distribution Generalization—0
Carrier Frequency Offset Estimation for OCDM with Null Subchirps—0
Do Neural Network Cross-Modal Mappings Really Bridge Modalities?—0
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains—0
Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations—0
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network—0
Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting—0
Enhancing Facial Data Diversity with Style-based Face Aging—0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity—0
DotFAN: A Domain-transferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition—0
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation—0
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