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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 7451–7500 of 9051 papers

TitleStatusHype
Semi-Supervised Phone Classification using Deep Neural Networks and Stochastic Graph-Based Entropic Regularization—0
A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment—0
A K-means-based Multi-subpopulation Particle Swarm Optimization for Neural Network Ensemble—0
VARGAN: Variance Enforcing Network Enhanced GAN—0
AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario—0
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning—0
Zero-Shot Paraphrase Generation with Multilingual Language Models—0
Sentence embedding with contrastive multi-views learning—0
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires—0
Distributionally-Informed Recommender System Evaluation—0
Sentiment Classification in Swahili Language Using Multilingual BERT—0
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection—0
SentiRec: Sentiment Diversity-aware Neural News Recommendation—0
WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory—0
AIRIS2 : a Smart Gateway Diversity Algorithm for Very High-Throughput Satellite Systems—0
AI in Support of Diversity and Inclusion—0
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension—0
Sequence to Sequence Mixture Model for Diverse Machine Translation—0
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity—0
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control—0
Sequencing Silicates in the IRS Debris Disk Catalog I: Methodology for Unsupervised Clustering—0
Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation—0
Sequential Deformation for Accurate Scene Text Detection—0
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems—0
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning—0
AI Fairness for People with Disabilities: Point of View—0
Words of Wisdom: Representational Harms in Learning From AI Communication—0
SetGAN: Improving the stability and diversity of generative models through a permutation invariant architecture—0
Set Prediction Guided by Semantic Concepts for Diverse Video Captioning—0
SFLD: Reducing the content bias for AI-generated Image Detection—0
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation—0
Shannon information criterion for low-high diversity transition in Moran and Voter models—0
Shannon Mutual Information Applied to Genetic Systems—0
Multimodal Shape Completion via IMLE—0
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces—0
Artificial Intelligence Development Races in Heterogeneous Settings—0
Variational Autoregressive Decoder for Neural Response Generation—0
Shared optical wireless cells for in-cabin aircraft links—0
Sharpness-Aware Minimization in Genetic Programming—0
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance—0
SHCT: A Successively Hierarchical Conditional Transformer for Controllable Paraphrase Generation—0
Shear and transport in a flow environment determine spatial patterns and population dynamics in a model of nonlocal ecological competition—0
Shifting the ISAC Trade-Off with Fluid Antenna Systems—0
Shilling Black-box Review-based Recommender Systems through Fake Review Generation—0
Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles—0
Shortcuts for causal discovery of nonlinear models by score matching—0
Short-Packet Communications for MIMO NOMA Systems over Nakagami-m Fading: BLER and Minimum Blocklength Analysis—0
Should attention be all we need? The epistemic and ethical implications of unification in machine learning—0
Should XAI Nudge Human Decisions with Explanation Biasing?—0
Variational Capsules for Image Analysis and Synthesis—0
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