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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 5401–5450 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
VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and AdaptationCode1
Diversity in deep generative models and generative AICode0
Deep Single Image Deraining using An Asymetric Cycle Generative and Adversarial Framework—0
Study of Feature Importance for Quantum Machine Learning Models—0
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)—0
Towards Simple and Accurate Human Pose Estimation with Stair Network—0
On the ideas of the origin of eukaryotes: a critical review—0
Point Cloud Generation with Continuous Conditioning—0
Realistic Blur Synthesis for Learning Image DeblurringCode1
3D-Aware Indoor Scene Synthesis with Depth Priors—0
Total consensus under high reproductive-variance conditions—0
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity—0
Deep Ensembles Work, But Are They Necessary?Code0
Distribution augmentation for low-resource expressive text-to-speech—0
A Contrastive Framework for Neural Text GenerationCode2
PQuAD: A Persian Question Answering Dataset—0
Privacy protection based on mask template—0
Data standardization for robust lip sync—0
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style TransformationCode1
Multi-level Latent Space Structuring for Generative Control—0
Deep soccer captioning with transformer: dataset, semantics-related losses, and multi-level evaluation—0
Fast Rates in Pool-Based Batch Active Learning—0
Consistency and Diversity induced Human Motion Segmentation—0
InPars: Data Augmentation for Information Retrieval using Large Language ModelsCode2
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning—0
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