SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2151–2175 of 9051 papers

TitleStatusHype
ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation—0
Complexity measurement of natural and artificial languages—0
Complexity-based speciation and genotype representation for neuroevolution—0
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems—0
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval—0
Discovering Patterns of Definitions and Methods from Scientific Documents—0
Discrete Structural Planning for Generating Diverse Translations—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
Discovering Diverse Nearly Optimal Policies with Successor Features—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
Show:102550
← PrevPage 87 of 363Next →

No leaderboard results yet.