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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 6501–6550 of 9051 papers

TitleStatusHype
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network—0
Determinantal consensus clustering—0
Bacteriophage classification for assembled contigs using Graph Convolutional NetworkCode1
DOA Estimation with Non-Uniform Linear Arrays: A Phase-Difference Projection ApproachCode1
A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection—0
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling—0
Co-Mixup: Saliency Guided Joint Mixup with Supermodular DiversityCode1
Diversity-Robust Acoustic Feature Signatures Based on Multiscale Fractal Dimension for Similarity Search of Environmental Sounds—0
Diversification in Session-based News Recommender SystemsCode0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
Neural Data Augmentation via Example ExtrapolationCode0
Neural representation and generation for RNA secondary structures—0
A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space"—0
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language ModelsCode1
Underwater Image Enhancement via Learning Water Type Desensitized RepresentationsCode1
[Re] Reproducibility study - Does enforcing diversity in hidden states of LSTM-Attention models improve transparency?Code0
Infant Cry Classification with Graph Convolutional Networks—0
Introduction of a novel word embedding approach based on technology labels extracted from patent data—0
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss—0
MultiRocket: Multiple pooling operators and transformations for fast and effective time series classificationCode1
Niching Diversity Estimation for Multi-modal Multi-objective Optimization—0
Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity—0
No-Regret Caching via Online Mirror Descent—0
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data—0
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track CharacteristicsCode0
BirdNET: A deep learning solution for avian diversity monitoringCode2
LSOIE: A Large-Scale Dataset for Supervised Open Information ExtractionCode1
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBsCode0
LS-HDIB: A Large Scale Handwritten Document Image Binarization Dataset—0
Adversarial Text-to-Image Synthesis: A Review—0
Black Feminist Musings on Algorithmic Oppression—0
STAR-RISs: Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces—0
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization—0
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations—0
Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising—0
Challenges Encountered in Turkish Natural Language Processing Studies—0
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase GenerationCode1
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19—0
Neural-based Modeling for Performance Tuning of Spark Data AnalyticsCode0
Macroscopic Control of Text Generation for Image Captioning—0
Clustering Future Scenarios Based on Predicted Range Maps—0
Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial NetworksCode0
Salient Object Detection via Integrity LearningCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
Is the Capability approach a useful tool for decision aiding in public policy making?—0
SceneGen: Learning to Generate Realistic Traffic Scenes—0
Binary strings of finite VC dimension—0
DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer—0
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving—0
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces—0
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