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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 4851–4900 of 9051 papers

TitleStatusHype
Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models—0
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey—0
Quasi-random Multi-Sample Inference for Large Language Models—0
Query Completion Using Bandits for Engines Aggregation—0
Query Expansion Using Contextual Clue Sampling with Language Models—0
Query-Focused Opinion Summarization for User-Generated Content—0
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation—0
QuPeL: Quantized Personalization with Applications to Federated Learning—0
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines—0
R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning—0
R3 Adversarial Network for Cross Model Face Recognition—0
RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
RAILS: A Robust Adversarial Immune-inspired Learning System—0
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts—0
Rainy screens: Collecting rainy datasets, indoors—0
RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios—0
Random Features for Compositional Kernels—0
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures—0
Randomized heuristic repair for large-scale multidimensional knapsack problem—0
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks—0
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series—0
RandoMix: A mixed sample data augmentation method with multiple mixed modes—0
Random Network Distillation as a Diversity Metric for Both Image and Text Generation—0
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data—0
RankAug: Augmented data ranking for text classification—0
Rank diversity of languages: Generic behavior in computational linguistics—0
Ranking-aware Uncertainty for Text-guided Image Retrieval—0
Ranking in Genealogy: Search Results Fusion at Ancestry—0
Ranking with social cues: Integrating online review scores and popularity information—0
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event—0
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection—0
Rare recombination events generate sequence diversity among balancer chromosomes in Drosophila melanogaster—0
RaSim: A Range-aware High-fidelity RGB-D Data Simulation Pipeline for Real-world Applications—0
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories—0
R-BI: Regularized Batched Inputs enhance Incremental Decoding Framework for Low-Latency Simultaneous Speech Translation—0
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples—0
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation—0
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning—0
Reading Recognition in the Wild—0
Reading Yule in light of the history and present of macroevolution—0
Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains—0
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention—0
Real-Time Hair Rendering using Sequential Adversarial Networks—0
Real-Time Visual Analysis of High-Volume Social Media Posts—0
Real-World Depth Recovery via Structure Uncertainty Modeling and Inaccurate GT Depth Fitting—0
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains—0
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training—0
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management—0
Recent advances and opportunities in scene classification of aerial images with deep models—0
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