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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 4801–4825 of 9051 papers

TitleStatusHype
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from ImagesCode4
Counterfactual Explanations Using Optimization With Constraint LearningCode0
Prompting for a conversation: How to control a dialog model?—0
Fine-Grained VR Sketching: Dataset and InsightsCode1
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training DynamicsCode1
Language Varieties of Italy: Technology Challenges and Opportunities—0
Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D inputCode1
Fairness on Synthetic Visual and Thermal Mask Images—0
Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection—0
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models—0
RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations—0
Learning Distinct and Representative Styles for Image CaptioningCode1
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances—0
Neuro-evolutionary evidence for a universal fractal primate brain shapeCode1
Application of Liquid Rank Reputation System for Content Recommendation—0
The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic—0
Distribution Aware Metrics for Conditional Natural Language Generation—0
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation ApproachCode1
Non-Parallel Voice Conversion for ASR Augmentation—0
vec2text with Round-Trip Translations—0
MDM: Molecular Diffusion Model for 3D Molecule Generation—0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition—0
Style Variable and Irrelevant Learning for Generalizable Person Re-identificationCode0
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes—0
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path QualityCode1
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