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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

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Showing 5401–5425 of 9051 papers

TitleStatusHype
DeepAutoPIN: An automorphism orbits based deep neural network for characterizing the organizational diversity of protein interactomes across the tree of life—0
Learning in Sparse Rewards settings through Quality-Diversity algorithms—0
Self-Supervised Vision Transformers Learn Visual Concepts in HistopathologyCode1
Uncertainty categories in medical image segmentation: a study of source-related diversity—0
The evolutionary stability of partial migration with Allee effects—0
Review of research on fireworks algorithm—0
Rethinking and Refining the Distinct MetricCode0
Learning Semantic Segmentation from Multiple Datasets with Label Shifts—0
One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU—0
Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform—0
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning—0
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs—0
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function—0
SonOpt: Sonifying Bi-objective Population-Based Optimization AlgorithmsCode0
Multi-view Intent Disentangle Graph Networks for Bundle RecommendationCode0
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent SubnetworksCode0
Diversity patterns and speciation processes in a two-island system with continuous migrationCode0
Near Perfect GAN Inversion—0
ReverseORC: Reverse Engineering of Resizable User Interface Layouts with OR-Constraints—0
SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text—0
Location-based Initial Access for Wireless Power Transfer with Physically Large Arrays—0
Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study—0
Submodlib: A Submodular Optimization LibraryCode1
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement LearningCode1
MIST GAN: Modality Imputation Using Style Transfer for MRI—0
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