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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 7576–7600 of 9051 papers

TitleStatusHype
Comprehensive Video Understanding: Video summarization with content-based video recommender design—0
Lexicographic Choice Under Variable Capacity Constraints—0
Roles of repertoire diversity in robustness of humoral immune response—0
Non-Centralized Navigation for Source Localization by Cooperative UAVs—0
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System—0
Online News Media Website Ranking Using User Generated Content—0
Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic ForecastingCode0
Diverse Video Captioning Through Latent Variable Expansion—0
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation—0
Primary and secondary anti-viral response captured by the dynamics and phenotype of individual T cell clones—0
Polymorphism in rapidly-changing cyclic environment—0
Fast Hardware-Aware Neural Architecture Search—0
Recognizing long-form speech using streaming end-to-end models—0
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation—0
A Unified Statistical Model for Atmospheric Turbulence-Induced Fading in Orbital Angular Momentum Multiplexed FSO Systems—0
CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems—0
Diversifying Database Activity Monitoring with Bandits—0
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
Unsupervised Boosting-based Autoencoder Ensembles for Outlier DetectionCode0
A Complexity Efficient DMT-Optimal Tree Pruning Based Sphere Decoding—0
Clotho: An Audio Captioning DatasetCode1
The Deepfake Detection Challenge (DFDC) Preview Dataset—0
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning—0
Diversity in Fashion Recommendation using Semantic ParsingCode0
Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strategy—0
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