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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 8101–8125 of 9051 papers

TitleStatusHype
Variational Cross-domain Natural Language Generation for Spoken Dialogue SystemsCode0
Low-Rank Factorization of Determinantal Point Processes for RecommendationCode0
Simple Unsupervised Keyphrase Extraction using Sentence EmbeddingsCode0
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and ScenesCode0
Principled Paraphrase Generation with Parallel CorporaCode0
Does Transliteration Help Multilingual Language Modeling?Code0
Conditional Diffusion Models with Classifier-Free Gibbs-like GuidanceCode0
Growing Artificial Neural Networks for Control: the Role of Neuronal DiversityCode0
Group Relative Policy Optimization for Image CaptioningCode0
Bayesian Prediction of Future Street Scenes using Synthetic LikelihoodsCode0
Grouping Words with Semantic DiversityCode0
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal StudyCode0
LUDB: a new open-access validation tool for electrocardiogram delineation algorithmsCode0
GridDehazeNet: Attention-Based Multi-Scale Network for Image DehazingCode0
Towards Mode Balancing of Generative Models via Diversity WeightsCode0
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain ShiftCode0
SimVerb-3500: A Large-Scale Evaluation Set of Verb SimilarityCode0
GRATIS: GeneRAting TIme Series with diverse and controllable characteristicsCode0
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series ForecastingCode0
WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair UsersCode0
Graph-guided Architecture Search for Real-time Semantic SegmentationCode0
Concise and interpretable multi-label rule setsCode0
Concept-as-Tree: Synthetic Data is All You Need for VLM PersonalizationCode0
Towards Multimodal Video Paragraph Captioning Models Robust to Missing ModalityCode0
Towards Multi-Morphology Controllers with Diversity and Knowledge DistillationCode0
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