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 7401–7425 of 9051 papers

TitleStatusHype
Is there sufficient evidence for criticality in cortical systems?—0
Multi-objective Consensus Clustering Framework for Flight Search Recommendation—0
Diversity sampling is an implicit regularization for kernel methods—0
Captioning Images Taken by People Who Are Blind—0
Affinity and Diversity: Quantifying Mechanisms of Data Augmentation—0
Sequential Latent Knowledge Selection for Knowledge-Grounded DialogueCode1
5G Simulation-Based Experimentation Framework for Vertical Performance Assessment—0
From Matching with Diversity Constraints to Matching with Regional Quotas—0
Bit Error Rate Analysis of M-ARY PSK and M-ARY QAM Over Rician Fading Channel—0
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework—0
Dual-CNN: A Convolutional language decoder for paragraph image captioning—0
Coherent and Archimedean choice in general Banach spaces—0
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image ClassificationCode1
Object Detection as a Positive-Unlabeled Problem—0
Regularized Evolutionary Population-Based Training—0
Regularized Submodular Maximization at Scale—0
Self-Attentive Associative MemoryCode1
AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment—0
Crowded trades, market clustering, and price instability—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
Learning efficient structured dictionary for image classification—0
Importance-Driven Deep Learning System Testing—0
Diversity and Inclusion Metrics in Subset Selection—0
Manifold for Machine Learning Assurance—0
Multi-Objective Molecule Generation using Interpretable SubstructuresCode2
Show:102550
← PrevPage 297 of 363Next →

No leaderboard results yet.