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 5251–5275 of 9051 papers

TitleStatusHype
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning—0
SetGAN: Improving the stability and diversity of generative models through a permutation invariant architecture—0
Set Prediction Guided by Semantic Concepts for Diverse Video Captioning—0
SFLD: Reducing the content bias for AI-generated Image Detection—0
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation—0
Shannon information criterion for low-high diversity transition in Moran and Voter models—0
Shannon Mutual Information Applied to Genetic Systems—0
Multimodal Shape Completion via IMLE—0
Shared optical wireless cells for in-cabin aircraft links—0
Sharpness-Aware Minimization in Genetic Programming—0
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance—0
SHCT: A Successively Hierarchical Conditional Transformer for Controllable Paraphrase Generation—0
Shear and transport in a flow environment determine spatial patterns and population dynamics in a model of nonlocal ecological competition—0
Shifting the ISAC Trade-Off with Fluid Antenna Systems—0
Shilling Black-box Review-based Recommender Systems through Fake Review Generation—0
Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles—0
Shortcuts for causal discovery of nonlinear models by score matching—0
Short-Packet Communications for MIMO NOMA Systems over Nakagami-m Fading: BLER and Minimum Blocklength Analysis—0
Should attention be all we need? The epistemic and ethical implications of unification in machine learning—0
Should XAI Nudge Human Decisions with Explanation Biasing?—0
SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages—0
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling—0
SigVIC: Spatial Importance Guided Variable-Rate Image Compression—0
SiLK: Simple Learned Keypoints—0
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation—0
Show:102550
← PrevPage 211 of 363Next →

No leaderboard results yet.