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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 1926–1950 of 9051 papers

TitleStatusHype
AROID: Improving Adversarial Robustness Through Online Instance-Wise Data AugmentationCode0
Improving Adversarial Robustness via Decoupled Visual Representation MaskingCode0
Improved Image Segmentation via Cost Minimization of Multiple HypothesesCode0
MDIA: A Benchmark for Multilingual Dialogue Generation in 46 LanguagesCode0
MDSC: Towards Evaluating the Style Consistency Between Music and DanceCode0
Creative Discovery using QD SearchCode0
Creative Diversity: Patterns in the Creative Habits of ~10,000 PeopleCode0
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output CodesCode0
Activation Maximization Generative Adversarial NetsCode0
Improved Generation of Synthetic Imaging Data Using Feature-Aligned DiffusionCode0
Improving Generalization with Domain Convex GameCode0
Intentional Computational Level DesignCode0
Commet: comparing and combining multiple metagenomic datasetsCode0
CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forumsCode0
Implementing Smart Contracts: The case of NFT-rental with pay-per-likeCode0
Auditing for Diversity using Representative ExamplesCode0
Imitation Learning for Sentence Generation with Dilated Convolutions Using Adversarial TrainingCode0
Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brainCode0
Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2nightCode0
Illumination Spectrum Estimation for Multispectral Images via Surface Reflectance Modeling and Spatial-Spectral Feature GenerationCode0
Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial NetworksCode0
Im2Pencil: Controllable Pencil Illustration from PhotographsCode0
Illuminating the Diversity-Fitness Trade-Off in Black-Box OptimizationCode0
Image Captioning via Dynamic Path CustomizationCode0
Combining Predictions under Uncertainty: The Case of Random Decision TreesCode0
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