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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 2351–2375 of 9051 papers

TitleStatusHype
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection—0
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs—0
A Critical Reexamination of Intra-List Distance and Dispersion—0
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers—0
CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels—0
Architext: Language-Driven Generative Architecture Design—0
CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models—0
cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization—0
A Framework for Ranking Content Providers Using Prompt Engineering and Self-Attention Network—0
Acquisition of Recursive Possessives and Recursive Locatives in Mandarin—0
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers—0
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization—0
ARCH-Elites: Quality-Diversity for Urban Design—0
Clustering Future Scenarios Based on Predicted Range Maps—0
Double cycle-consistent generative adversarial network for unsupervised conditional generation—0
ArchCAD-400K: An Open Large-Scale Architectural CAD Dataset and New Baseline for Panoptic Symbol Spotting—0
AFP-CKSAAP: Prediction of Antifreeze Proteins Using Composition of k-Spaced Amino Acid Pairs with Deep Neural Network—0
Diverse Generation while Maintaining Semantic Coordination: A Diffusion-Based Data Augmentation Method for Object Detection—0
Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning—0
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning—0
Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance—0
Cluster Index Modulation for Reconfigurable Intelligent Surface-Assisted mmWave Massive MIMO—0
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation—0
A Flexible Recommendation System for Cable TV—0
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