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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 7876–7900 of 9051 papers

TitleStatusHype
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine LearningCode0
Utilizing Reinforcement Learning for de novo Drug DesignCode0
Counterfactual Multi-player Bandits for Explainable Recommendation DiversificationCode0
Dynamics of niche construction in adaptable populations evolving in diverse environmentsCode0
Learning Photography Aesthetics with Deep CNNsCode0
CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic RoutingCode0
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain AdaptationCode0
Plan, Write, and Revise: an Interactive System for Open-Domain Story GenerationCode0
Learning Representations and Generative Models for 3D Point CloudsCode0
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive ImitationCode0
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-trainingCode0
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic ServicesCode0
Dynamic Quality-Diversity SearchCode0
Attesting Distributional Properties of Training Data for Machine LearningCode0
Dynamic Cat Swarm Optimization Algorithm for Backboard Wiring ProblemCode0
Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point ProcessCode0
Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and PretrainingCode0
PLS for V2I Communications Using Friendly Jammer and Double kappa-mu Shadowed FadingCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Learning to Abstract for Memory-augmented Conversational Response GenerationCode0
Relevance Attack on DetectorsCode0
Learning to Avoid Errors in GANs by Manipulating Input SpacesCode0
A Tool for Super-Resolving Multimodal Clinical MRICode0
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual ExplanationsCode0
Learning to Customize Model Structures for Few-shot Dialogue Generation TasksCode0
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