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 5451–5475 of 9051 papers

TitleStatusHype
Structural Compression of Convolutional Neural Networks—0
Structural Consistency and Controllability for Diverse Colorization—0
Structural Learning of Diverse Ranking—0
Structured Deep Neural Network Pruning via Matrix Pivoting—0
Structured Determinantal Point Processes—0
Structured mutation inspired by evolutionary theory enriches population performance and diversity—0
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction—0
Student's t-Generative Adversarial Networks—0
Studying and Mitigating Biases in Sign Language Understanding Models—0
Studying evolution of the primary body axis in vivo and in vitro—0
Studying Retrievability of Publications and Datasets in an Integrated Retrieval System—0
Studying the association of online brand importance with museum visitors: An application of the semantic brand score—0
Study of Feature Importance for Quantum Machine Learning Models—0
Study of Intelligent Reflective Surface Assisted Communications with One-bit Phase Adjustments—0
Study of scaling laws in language families—0
Study on Inter and Intra Speaker Variability in Speaker Recognition—0
Study on Patterns and Effect of Task Diversity in Software Crowdsourcing—0
StyLandGAN: A StyleGAN based Landscape Image Synthesis using Depth-map—0
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures—0
StyleCap: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-supervised Learning Models—0
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects—0
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer—0
StyleGenes: Discrete and Efficient Latent Distributions for GANs—0
StyleHumanCLIP: Text-guided Garment Manipulation for StyleGAN-Human—0
StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models—0
Show:102550
← PrevPage 219 of 363Next →

No leaderboard results yet.