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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 526–550 of 9051 papers

TitleStatusHype
Make Optimization Once and for All with Fine-grained Guidance—0
RONA: Pragmatically Diverse Image Captioning with Coherence RelationsCode0
Beamforming for Movable and Rotatable Antenna Enabled Multi-User Communications—0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
GroundingSuite: Measuring Complex Multi-Granular Pixel GroundingCode2
Information Density Principle for MLLM BenchmarksCode0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identificationCode1
Climate land use and other drivers impacts on island ecosystem services: a global review—0
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion—0
Distilling Diversity and Control in Diffusion Models—0
Ordered Semantically Diverse Sampling for Textual Data—0
Bags of Projected Nearest Neighbours: Competitors to Random Forests?Code0
Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models—0
Maintaining diversity in structured populationsCode0
Monte Carlo Diffusion for Generalizable Learning-Based RANSAC—0
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse TasksCode0
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models—0
Considering Length Diversity in Retrieval-Augmented SummarizationCode0
SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction PredictionCode0
Double-Stage Feature-Level Clustering-Based Mixture of Experts Framework—0
MaRI: Material Retrieval Integration across Domains—0
Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion RecognitionCode0
Is Limited Participant Diversity Impeding EEG-based Machine Learning?Code0
Understanding the Quality-Diversity Trade-off in Diffusion Language ModelsCode0
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