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 7501–7525 of 9051 papers

TitleStatusHype
Learning a Neural 3D Texture Space from 2D ExemplarsCode0
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting—0
VideoDG: Generalizing Temporal Relations in Videos to Novel DomainsCode0
A Real-time Global Inference Network for One-stage Referring Expression ComprehensionCode0
PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to EnglishCode0
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised LearningCode0
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue—0
Smartphone Multi-modal Biometric Authentication: Database and Evaluation—0
StarGAN v2: Diverse Image Synthesis for Multiple DomainsCode1
Enhancing Relation Extraction Using Syntactic Indicators and Sentential ContextsCode0
Robust Deep Learning Based Sentiment Classification of Code-Mixed Text—0
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition—0
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity—0
HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation—0
Curriculum-guided Hindsight Experience ReplayCode1
Flow-based Image-to-Image Translation with Feature Disentanglement—0
Variational Structured Semantic Inference for Diverse Image Captioning—0
Twin Auxilary Classifiers GANCode0
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks—0
Dual-Attention Graph Convolutional Network—0
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling—0
Domain-Aware Dynamic Networks—0
Multi-View Multiple Clusterings using Deep Matrix Factorization—0
Relevance-Promoting Language Model for Short-Text Conversation—0
Show:102550
← PrevPage 301 of 363Next →

No leaderboard results yet.