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 7126–7150 of 9051 papers

TitleStatusHype
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation—0
An Interference-Free Filter-Bank Multicarrier System Applicable for MIMO Channels—0
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal AnglesCode1
Enhancing Facial Data Diversity with Style-based Face Aging—0
Prague Dependency Treebank -- Consolidated 1.0—0
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation—0
The Importance of Open-Endedness (for the Sake of Open-Endedness)—0
An Improved LSHADE-RSP Algorithm with the Cauchy Perturbation: iLSHADE-RSP—0
Uncertainty quantification in medical image segmentation with normalizing flowsCode1
Cross-model Back-translated Distillation for Unsupervised Machine TranslationCode0
Nested Scale Editing for Conditional Image Synthesis—0
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning—0
Transforming Multi-Concept Attention into Video Summarization—0
Distribution Aligned Multimodal and Multi-Domain Image Stylization—0
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient ExplorationCode0
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition—0
Exploiting Joint Robustness to Adversarial Perturbations—0
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation—0
Learning Unseen Concepts via Hierarchical Decomposition and Composition—0
Progressive Mirror Detection—0
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity MaximizationCode1
Fast Texture Synthesis via Pseudo OptimizerCode0
Bayesian Adversarial Human Motion SynthesisCode1
Nested Scale-Editing for Conditional Image Synthesis—0
TA-Student VQA: Multi-Agents Training by Self-Questioning—0
Show:102550
← PrevPage 286 of 363Next →

No leaderboard results yet.