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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

Showing 25762600 of 9051 papers

TitleStatusHype
Dual-Attention Graph Convolutional Network0
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue0
An Overview of the Research on Texture Based Plant Leaf Classification0
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity0
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling0
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation0
Cash versus Kind: Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda0
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios0
Carrier Frequency Offset Estimation for OCDM with Null Subchirps0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective0
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge0
A Comprehensive Augmentation Framework for Anomaly Detection0
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning0
A novel statistical metric learning for hyperspectral image classification0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method0
Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization0
Adversarial Environment Design via Regret-Guided Diffusion Models0
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices0
Capturing the diversity of biological tuning curves using generative adversarial networks0
A Novel Multi-Objective Velocity-Free Boolean Particle Swarm Optimization0
Capturing Bias Diversity in LLMs0
Captioning Images Taken by People Who Are Blind0
Distributionally-Informed Recommender System Evaluation0
``Caption'' as a Coherence Relation: Evidence and Implications0
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