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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 3201–3225 of 9051 papers

TitleStatusHype
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning—0
Touring sampling with pushforward maps—0
XAGen: 3D Expressive Human Avatars Generation—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
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text RecognizerCode1
Data Diversity Matters for Robust Instruction Tuning—0
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer—0
IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages—0
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—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
Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM—0
Generating Progressive Images from Pathological Transitions via Diffusion ModelCode1
Infinite forecast combinations based on Dirichlet process—0
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation—0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—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
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
Workforce pDEI: Productivity Coupled with DEI—0
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities—0
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI—0
Multi-Task Reinforcement Learning with Mixture of Orthogonal ExpertsCode1
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