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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 7351–7375 of 9051 papers

TitleStatusHype
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
Patient Aware Active Learning for Fine-Grained OCT Classification—0
Pattern and Polarization Diversity Multi-Sector Annular Antenna for IoT Applications—0
Pattern-Aware Chain-of-Thought Prompting in Large Language Models—0
Patterning the insect eye: from stochastic to deterministic mechanisms—0
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting—0
PDSR: A Privacy-Preserving Diversified Service Recommendation Method on Distributed Data—0
PEDAL: Enhancing Greedy Decoding with Large Language Models using Diverse Exemplars—0
PEER: A Collaborative Language Model—0
Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation—0
Peng Cheng Object Detection Benchmark for Smart City—0
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences—0
PerceiverS: A Multi-Scale Perceiver with Effective Segmentation for Long-Term Expressive Symbolic Music Generation—0
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models—0
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving—0
Perceptual Rationality: An Evolutionary Game Theory of Perceptually Rational Decision-Making—0
PER-DPP Sampling Framework and Its Application in Path Planning—0
Performance Analysis of Intelligent Reflective Surface Aided Wireless Communications—0
Performance Analysis of Novel Direct Access Schemes for LEO Satellites Based IoT Network—0
Performance Analysis and Optimization of RIS-Assisted Networks in Nakagami-m Environment—0
Performance Evaluation of OTFS Over Measured V2V Channels at 60 GHz—0
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis—0
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing from Multiple Measurement Vectors—0
Persona-driven Dominant/Submissive Map (PDSM) Generation for Tutorials—0
Personalization in Human Activity Recognition—0
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