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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 7026–7050 of 9051 papers

TitleStatusHype
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction—0
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion—0
Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects—0
NAYEL @LT-EDI-ACL2022: Homophobia/Transphobia Detection for Equality, Diversity, and Inclusion using SVM—0
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos—0
Near Perfect GAN Inversion—0
Negatively Correlated Search—0
Parallel Exploration via Negatively Correlated Search—0
NeRF Solves Undersampled MRI Reconstruction—0
Nested Scale Editing for Conditional Image Synthesis—0
Nested Scale-Editing for Conditional Image Synthesis—0
Netizen-Style Commenting on Fashion Photos: Dataset and Diversity Measures—0
Network Flow Based Post Processing for Sales Diversity—0
Network Inversion and Its Applications—0
Network Inversion of Convolutional Neural Nets—0
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level—0
Network Slicing for eMBB and mMTC with NOMA and Space Diversity Reception—0
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature—0
Neural Architecture Search via Ensemble-based Knowledge Distillation—0
Neural Categorical Priors for Physics-Based Character Control—0
Neural Cross-Domain Collaborative Filtering with Shared Entities—0
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model—0
The impact of behavioral diversity in multi-agent reinforcement learning—0
Neural-Driven Multi-criteria Tree Search for Paraphrase Generation—0
Neural Machine Translation Data Generation and Augmentation using ChatGPT—0
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