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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 6001–6025 of 9051 papers

TitleStatusHype
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation—0
Affinity maturation for an optimal balance between long-term immune coverage and short-term resource constraints—0
Towards Controlled and Diverse Generation of Article Comments—0
A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem—0
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic SegmentationCode1
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation—0
Learning Quadruped Locomotion Policies using Logical Rules—0
Bias Loss for Mobile Neural NetworksCode1
What are you optimizing for? Aligning Recommender Systems with Human Values—0
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression—0
Conditional GANs with Auxiliary Discriminative ClassifierCode2
Conditional Sound Generation Using Neural Discrete Time-Frequency Representation LearningCode1
General Virtual Sketching Framework for Vector Line ArtCode1
Effects of a pestilent species on the stability of cyclically dominant species—0
Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares—0
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model—0
Strong, recent selective sweeps reshape genetic diversity in freshwater bivalve Megalonaias nervosa—0
On the Complexity of Optimising Variants of Phylogenetic Diversity on Phylogenetic Networks—0
Tailor: Generating and Perturbing Text with Semantic ControlsCode1
Variational Topic Inference for Chest X-Ray Report Generation—0
Auditing for Diversity using Representative ExamplesCode0
DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections—0
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive SensingCode1
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms—0
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks—0
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