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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
GANtruth - an unpaired image-to-image translation method for driving scenarios—0
GANzilla: User-Driven Direction Discovery in Generative Adversarial Networks—0
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control—0
Diverse mini-batch Active Learning—0
Garment Design with Generative Adversarial Networks—0
Gaussian Affinity for Max-Margin Class Imbalanced Learning—0
Diverse Melody Generation from Chinese Lyrics via Mutual Information Maximization—0
Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes—0
BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking—0
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images—0
Diverse Machine Translation with a Single Multinomial Latent Variable—0
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework—0
Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks—0
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction—0
Boom-bust population dynamics can increase diversity in evolving competitive communities—0
An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation—0
gDNA: Towards Generative Detailed Neural Avatars—0
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets—0
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning—0
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model—0
Diverse legal case search—0
BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform—0
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image—0
Diverse Large-Scale ITS Dataset Created from Continuous Learning for Real-Time Vehicle Detection—0
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