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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 61016125 of 9051 papers

TitleStatusHype
Diminished Diversity-of-Thought in a Standard Large Language Model0
Uncertainty-Aware Deep Video Compression with Ensembles0
One Size Does Not Fit All: Modeling Users' Personal Curiosity in Recommender Systems0
Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption0
One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software0
On Evaluation of Document Classification using RVL-CDIP0
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search0
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models0
One world, one opinion? The superstar effect in LLM responses0
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications0
On Fairness, Diversity and Randomness in Algorithmic Decision Making0
On Feature Diversity in Energy-based Models0
Ontology of Belief Diversity: A Community-Based Epistemological Approach0
Uncertainty Awareness in Wireless Communications and Sensing0
On How Users Edit Computer-Generated Visual Stories0
On Hyperspectral Classification in the Compressed Domain0
On Languaging a Simulation Engine0
Exploring Social Media Image Categorization Using Large Models with Different Adaptation Methods: A Case Study on Cultural Nature's Contributions to People0
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows0
Online Automatic Post-editing for MT in a Multi-Domain Translation Environment0
Online Behavior Modification for Expressive User Control of RL-Trained Robots0
Online Camera-to-ground Calibration for Autonomous Driving0
Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report0
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems0
Artificial intelligence and the internal processes of creativity0
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