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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 4401–4425 of 9051 papers

TitleStatusHype
Representing Interlingual Meaning in Lexical Databases—0
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding—0
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon PredictionCode1
Regular Time-series Generation using SGM—0
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning—0
New Metrics to Encourage Innovation and Diversity in Information Retrieval ApproachesCode0
Generalization through Diversity: Improving Unsupervised Environment Design—0
Genealogical transition in the noisy N-Branching Random Walk. How stronger selection may promote genetic diversity—0
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble—0
Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video CodingCode0
Active learning for medical image segmentation with stochastic batchesCode1
Robust Scheduling with GFlowNets—0
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI CoordinationCode0
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images—0
Antenna Array Calibration Via Gaussian Process Models—0
Ankh: Optimized Protein Language Model Unlocks General-Purpose ModellingCode0
BuildSeg: A General Framework for the Segmentation of Buildings—0
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Music Playlist Title Generation Using Artist InformationCode0
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation—0
Disentangled Representation for Diversified RecommendationsCode0
Fair and skill-diverse student group formation via constrained k-way graph partitioning—0
On the Structural Generalization in Text-to-SQL—0
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images—0
Heuristic for Diverse Kemeny Rank Aggregation based on Quantum Annealing—0
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