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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 7351–7400 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
Personalize Anything for Free with Diffusion Transformer—0
Personalized Bundle List Recommendation—0
Personalized Elastic Embedding Learning for On-Device Recommendation—0
Personalized Game Difficulty Prediction Using Factorization Machines—0
Personalized neural language models for real-world query auto completion—0
Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling—0
Personalized Prediction of Offensive News Comments by Considering the Characteristics of Commenters—0
Personalized Query Rewriting in Conversational AI Agents—0
Personalized Re-ranking for Improving Diversity in Live Recommender Systems—0
Personalized Student Attribute Inference—0
Personalizing Fairness-aware Re-ranking—0
Personal Names in Modern Turkey—0
PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation—0
PersonificationNet: Making customized subject act like a person—0
Person Re-Identification via Active Hard Sample Mining—0
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction—0
Perturbation-based Active Learning for Question Answering—0
Perturbation-Based Two-Stage Multi-Domain Active Learning—0
Perturbation Diversity Certificates Robust Generalisation—0
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?—0
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities—0
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition—0
Phasic Diversity Optimization for Population-Based Reinforcement Learning—0
Phenomenology and dynamics of competitive ecosystems beyond the niche-neutral regimes—0
Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity, and Bias in GeoAI and Spatial Data Science—0
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