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 2201–2225 of 9051 papers

TitleStatusHype
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
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling—0
A Robust Contrastive Alignment Method For Multi-Domain Text Classification—0
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship—0
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity—0
A genomic map of the effects of linked selection in Drosophila—0
MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation—0
Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data—0
Diverse Image Annotation—0
A Genetic Algorithm approach to Asymmetrical Blotto Games with Heterogeneous Valuations—0
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models—0
Action Unit Memory Network for Weakly Supervised Temporal Action Localization—0
Comment Section Personalization: Algorithmic, Interface, and Interaction Design—0
Is there sufficient evidence for criticality in cortical systems?—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation—0
Argument Quality Assessment in the Age of Instruction-Following Large Language Models—0
Comeback kids: an evolutionary approach of the long-run innovation process—0
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition—0
Argument Identification in Public Comments from eRulemaking—0
Show:102550
← PrevPage 89 of 363Next →

No leaderboard results yet.