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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 6101–6125 of 9051 papers

TitleStatusHype
VARGAN: Variance Enforcing Network Enhanced GAN—0
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection—0
Variational Autoregressive Decoder for Neural Response Generation—0
Variational Capsules for Image Analysis and Synthesis—0
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding—0
Variational Embedding Multiscale Sample Entropy:complexity-based analysis for multichannel systems—0
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction—0
Variational Stacked Local Attention Networks for Diverse Video Captioning—0
Variational Structured Semantic Inference for Diverse Image Captioning—0
Variational Topic Inference for Chest X-Ray Report Generation—0
Variational Transformer Networks for Layout Generation—0
Variation-Aware Semantic Image Synthesis—0
Variations on Memetic Algorithms for Graph Coloring Problems—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
vec2text with Round-Trip Translations—0
Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation—0
Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization—0
Vector-Quantized Prompt Learning for Paraphrase Generation—0
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs—0
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios—0
VGFlow: Visibility guided Flow Network for Human Reposing—0
Vibration-Based Condition Monitoring By Ensemble Deep Learning—0
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding—0
Video Description: A Survey of Methods, Datasets and Evaluation Metrics—0
Video Question Generation via Cross-Modal Self-Attention Networks Learning—0
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