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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 1901–1925 of 9051 papers

TitleStatusHype
Attribute Alignment: Controlling Text Generation from Pre-trained Language ModelsCode0
Competition and Diversity in Generative AICode0
Improving End-to-End Sequential Recommendations with Intent-aware DiversificationCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Attribute-aware Diversification for Sequential RecommendationsCode0
CoT: Cooperative Training for Generative Modeling of Discrete DataCode0
Improving Diversity of Commonsense Generation by Large Language Models via In-Context LearningCode0
Comparison of Diverse Decoding Methods from Conditional Language ModelsCode0
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial RobustnessCode0
Counterfactual Multi-player Bandits for Explainable Recommendation DiversificationCode0
Artificial Immune System of Secure Face Recognition Against Adversarial AttacksCode0
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQLCode0
Improving Contextualized Topic Models with Negative SamplingCode0
ABD-Net: Attentive but Diverse Person Re-IdentificationCode0
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddingsCode0
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output CodesCode0
Improving Adversarial Robustness via Decoupled Visual Representation MaskingCode0
Comparative evaluation of 2D feature correspondence selection algorithmsCode0
Improved Generation of Synthetic Imaging Data Using Feature-Aligned DiffusionCode0
Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain AdaptationCode0
Improved Generalization of Weight Space Networks via AugmentationsCode0
Improved Image Segmentation via Cost Minimization of Multiple HypothesesCode0
AROID: Improving Adversarial Robustness Through Online Instance-Wise Data AugmentationCode0
Implementing Smart Contracts: The case of NFT-rental with pay-per-likeCode0
Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brainCode0
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