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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 6101–6150 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
Video Storytelling: Textual Summaries for Events—0
View Invariant 3D Human Pose Estimation—0
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation—0
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology—0
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval—0
Visible Light Optical Data Centre Links—0
Vision Transformers in Medical Imaging: A Review—0
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis—0
Visualizing Temporal Topic Embeddings with a Compass—0
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks—0
Data-Efficient Machine Learning Potentials via Difference Vectors Based on Local Atomic Environments—0
VisualLens: Personalization through Visual History—0
Visual Place Recognition for Large-Scale UAV Applications—0
VisualQuest: A Diverse Image Dataset for Evaluating Visual Recognition in LLMs—0
Visual Reasoning with Natural Language—0
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects—0
VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection—0
Visual Variational Autoencoder Prompt Tuning—0
VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare—0
ViTOC: Vision Transformer and Object-aware Captioner—0
VizExtract: Automatic Relation Extraction from Data Visualizations—0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis—0
Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder—0
Voice EHR: Introducing Multimodal Audio Data for Health—0
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