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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 1851–1900 of 9051 papers

TitleStatusHype
ControlVAE: Controllable Variational Autoencoder—0
Constrained Interacting Submodular Groupings—0
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling—0
A K-means-based Multi-subpopulation Particle Swarm Optimization for Neural Network Ensemble—0
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle—0
Consistent Multiple Sequence Decoding—0
Controlling biases and diversity in diverse image-to-image translation—0
Controlling Character Motions without Observable Driving Source—0
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density—0
AI Competitions and Benchmarks: Competition platforms—0
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model—0
Convergence analysis of OT-Flow for sample generation—0
Convergence and Diversity in the Control Hierarchy—0
Conversational AI-Powered Design: ChatGPT as Designer, User, and Product—0
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector—0
Consistent Flow Distillation for Text-to-3D Generation—0
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization—0
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning—0
AIBench Scenario: Scenario-distilling AI Benchmarking—0
Assessing the Coherence Modeling Capabilities of Pretrained Transformer-based Language Models—0
Consistency and Diversity induced Human Motion Segmentation—0
A tool for computing diversity and consideration on differences between diversity indices—0
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting—0
Reliable and diverse evaluation of LLM medical knowledge mastery—0
Cooperative Intergroup Mating Can Overcome Ethnocentrism in Diverse Populations—0
Navigating Text-to-Image Generative Bias across Indic Languages—0
Deep Negative Correlation Classification—0
Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population—0
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds—0
Coordinated Exploration in Concurrent Reinforcement Learning—0
Coordinated Spectral Efficiency Prediction for Real-World 5G CoMP Systems—0
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling—0
Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning—0
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient—0
CORD: Generalizable Cooperation via Role Diversity—0
Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?—0
Considerations for Ethical Speech Recognition Datasets—0
Coreference in Spoken vs. Written Texts: a Corpus-based Analysis—0
Coreset Selection for Object Detection—0
Coronary Heart Disease Diagnosis Based on Improved Ensemble Learning—0
Corporate Social Responsibility and Corporate Governance: A cognitive approach—0
Corpus-based Content Construction—0
Corpus COFLA: A research corpus for the Computational study of Flamenco Music—0
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis—0
Corpus Development of Kiswahili Speech Recognition Test and Evaluation sets, Preemptively Mitigating Demographic Bias Through Collaboration with Linguists—0
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment—0
Correlated Errors in Large Language Models—0
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning—0
Deep learning on butterfly phenotypes tests evolution's oldest mathematical model—0
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