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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 4251–4275 of 9051 papers

TitleStatusHype
Dialogue Quality and Emotion Annotations for Customer Support ConversationsCode0
Grammatical Error Correction via Mixed-Grained Weighted Training—0
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution—0
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery—0
XAGen: 3D Expressive Human Avatars Generation—0
Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM—0
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—0
IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages—0
Infinite forecast combinations based on Dirichlet process—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networksCode0
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer—0
Data Diversity Matters for Robust Instruction Tuning—0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—0
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation—0
Steering Responsible AI: A Case for Algorithmic Pluralism—0
Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models—0
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data—0
Workforce pDEI: Productivity Coupled with DEI—0
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI—0
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities—0
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images—0
Partially Randomizing Transformer Weights for Dialogue Response Diversity—0
Unsupervised Estimation of Ensemble Accuracy—0
Diverse Shape Completion via Style Modulated Generative Adversarial Networks—0
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