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 5501–5525 of 9051 papers

TitleStatusHype
Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition—0
Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect—0
Mental Workload and Language Production in Non-Native Speaker IPA Interaction—0
MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification—0
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers—0
Augmenting medical image classifiers with synthetic data from latent diffusion models—0
Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters—0
Mesure simultanée des réponses impulsionnelles en macrodiversité—0
Meta Adaptation using Importance Weighted Demonstrations—0
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale—0
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition—0
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation—0
Augmented Message Passing Stein Variational Gradient Descent—0
A systematic approach to random data augmentation on graph neural networks—0
Meta-Diversity Search in Complex Systems, A Recipe for Artificial Open-Endedness ?—0
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning—0
MetaHead: An Engine to Create Realistic Digital Head—0
Metaheuristic Enhanced with Feature-Based Guidance and Diversity Management for Solving the Capacitated Vehicle Routing Problem—0
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation—0
Augmented Data Science: Towards Industrialization and Democratization of Data Science—0
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer—0
Meta-Learning for Few-Shot Land Cover Classification—0
Meta Learning for Multi-agent Communication—0
Two-Step Meta-Learning for Time-Series Forecasting Ensemble—0
Training and Inference Methods for High-Coverage Neural Machine Translation—0
Show:102550
← PrevPage 221 of 363Next →

No leaderboard results yet.