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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 5951–5975 of 9051 papers

TitleStatusHype
DGCN: Diversified Recommendation with Graph Convolutional NetworksCode1
Deep Active Learning for Text Classification with Diverse Interpretations—0
Open Problems in Human Trait Genetics—0
Channel State Acquisition in Uplink NOMA for Cellular-Connected UAV: Exploitation of Doppler and Modulation Diversities—0
High-dimensional Assisted Generative Model for Color Image RestorationCode0
MINT -- Mainstream and Independent News Text CorpusCode0
How Computer Science Can Aid Forest Restoration—0
Generating Diverse Descriptions from Semantic GraphsCode0
Conditional Temporal Variational AutoEncoder for Action Video Prediction—0
Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation—0
Diversity-aware Web APIs Recommendation with Compatibility Guarantee—0
High Quality Related Search Query Suggestions using Deep Reinforcement Learning—0
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
IntenT5: Search Result Diversification using Causal Language Models—0
Language Model Evaluation in Open-ended Text Generation—0
Identification of Play Styles in Universal Fighting Engine—0
DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation—0
A Categorized Reflection Removal Dataset with Diverse Real-world Scenes—0
Real-Time Visual Analysis of High-Volume Social Media Posts—0
VinaFood21: A Novel Dataset for Evaluating Vietnamese Food RecognitionCode0
A Generalized Space-Frequency Index Modulation Scheme for Downlink MIMO Transmissions with Improved Diversity—0
Auxiliary Class Based Multiple Choice Learning—0
Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks—0
A Global Nucleic Acid Observatory for Biodefense and Planetary Health—0
Itinerary-aware Personalized Deep Matching at Fliggy—0
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