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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 2151–2200 of 9051 papers

TitleStatusHype
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems—0
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval—0
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport—0
Distribution augmentation for low-resource expressive text-to-speech—0
A Global Nucleic Acid Observatory for Biodefense and Planetary Health—0
Complementing cell taxonomies with a multicellular functional analysis of tissues—0
Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions—0
Diminished Diversity-of-Thought in a Standard Large Language Model—0
Aggregation of Classifiers: A Justifiable Information Granularity Approach—0
Complementary Evidence Identification in Open-Domain Question Answering—0
Complementary Ensemble Learning—0
Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption—0
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020—0
Competition Dynamics in the Meme Ecosystem—0
Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report—0
Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation—0
Artificial intelligence and the internal processes of creativity—0
Comparison of various image fusion methods for impervious surface classification from VNREDSat-1—0
Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank—0
Comparison of machine learning models applied on anonymized data with different techniques—0
Machine Learning in Nuclear Physics—0
Aggregating Dependent Gaussian Experts in Local Approximation—0
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics—0
Comparison of classifiers in challenge scheme—0
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices—0
Aggregating Correlated Estimations with (Almost) no Training—0
Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes—0
Comparing Photorealism in Game Engines for Synthetic Maritime Computer Vision Datasets—0
ARTEMIS: Using GANs with Multiple Discriminators to Generate Art—0
Active Collaborative Ensemble Tracking—0
Dispersal-induced instability in complex ecosystems—0
Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation—0
Comparing Measures of Linguistic Diversity Across Social Media Language Data and Census Data at Subnational Geographic Areas—0
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture—0
Comparing heterogeneous visual gestures for measuring the diversity of visual speech signals—0
Comparing and Combining Lexicase Selection and Novelty Search—0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Agent-Specific Deontic Modality Detection in Legal Language—0
Comparative Analysis of Indicators for Multiobjective Diversity Optimization—0
ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing—0
Compacting Deep Neural Networks for Internet of Things: Methods and Applications—0
Community structures in allelopathic interaction networks: an eco-evolutionary approach—0
Active Adversarial Domain Adaptation—0
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification—0
Communities as cliques—0
Array-Informed Waveform Design for Active Sensing: Diversity, Redundancy, and Identifiability—0
Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication—0
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding—0
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model—0
Communicate or Sense? AP Mode Selection in mmWave Cell-Free Massive MIMO-ISAC—0
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