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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 5176–5200 of 9051 papers

TitleStatusHype
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images—0
Antenna Array Calibration Via Gaussian Process Models—0
BuildSeg: A General Framework for the Segmentation of Buildings—0
Music Playlist Title Generation Using Artist InformationCode0
Disentangled Representation for Diversified RecommendationsCode0
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation—0
On the Structural Generalization in Text-to-SQL—0
Heuristic for Diverse Kemeny Rank Aggregation based on Quantum Annealing—0
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images—0
Fair and skill-diverse student group formation via constrained k-way graph partitioning—0
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors—0
A Unified Theory of Diversity in Ensemble LearningCode0
Active Learning for Abstractive Text SummarizationCode0
Universal Information Extraction as Unified Semantic Matching—0
Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments—0
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing—0
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations—0
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction—0
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms—0
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models—0
Evaluating Evasion Strategies in Zebrafish Larvae—0
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality AssessmentCode0
Testing High-dimensional Multinomials with Applications to Text Analysis—0
Gender Diversity in Ownership and Firm Innovativeness in Emerging Markets. The Mediating Roles of R&D Investments and External Capital—0
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