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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 7001–7025 of 9051 papers

TitleStatusHype
Long-tail Session-based Recommendation—0
IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News ArticlesCode1
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich AnnotationsCode1
Exclusion of the fittest predicts microbial community diversity in fluctuating environmentsCode0
End-to-End Optimization of Scene LayoutCode1
Comprehensive Image Captioning via Scene Graph DecompositionCode1
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic ProgrammingCode1
Integrating Image Captioning with Rule-based Entity Masking—0
Regularizing Deep Networks with Semantic Data AugmentationCode1
Garment Design with Generative Adversarial Networks—0
Adding Seemingly Uninformative Labels Helps in Low Data RegimesCode1
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020—0
Improving Diversity and Reducing Redundancy in Paragraph Captions—0
Large Intelligent Surface Assisted Non-Orthogonal Multiple Access: Performance Analysis—0
Length-Controllable Image CaptioningCode1
On Disentangling Spoof Trace for Generic Face Anti-SpoofingCode1
Constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks—0
Facets of Fairness in Search and Recommendation—0
Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement—0
A high fidelity synthetic face framework for computer vision—0
Localization, epidemic transitions, and unpredictability of multistrain epidemics with an underlying genotype network—0
Temporal Distinct Representation Learning for Action Recognition—0
When and how CNNs generalize to out-of-distribution category-viewpoint combinationsCode1
Dialect Diversity in Text Summarization on Twitter—0
The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization—0
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