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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 4001–4050 of 9051 papers

TitleStatusHype
FAS-assisted Wireless Powered Communication Systems—0
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity—0
FedShift: Tackling Dual Heterogeneity Problem of Federated Learning via Weight Shift Aggregation—0
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?—0
An Empirical Analysis of Diversity in Argument Summarization—0
The effect of diversity on group decision-makingCode0
AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents—0
SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling—0
Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal—0
A fast density peak clustering based particle swarm optimizer for dynamic optimization—0
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection—0
Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical SciencesCode0
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias—0
Topology-Aware Latent Diffusion for 3D Shape Generation—0
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization—0
Large Language Models for Mathematical Reasoning: Progresses and Challenges—0
Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization—0
Active Generation Network of Human Skeleton for Action Recognition—0
Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningCode0
NNOSE: Nearest Neighbor Occupational Skill ExtractionCode0
Analysis of Knowledge Tracing performance on synthesised student data—0
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants—0
Contributing Dimension Structure of Deep Feature for Coreset SelectionCode0
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect—0
A Survey on 3D Skeleton Based Person Re-Identification: Approaches, Designs, Challenges, and Future Directions—0
Prompting Diverse Ideas: Increasing AI Idea Variance—0
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport—0
DAM: Diffusion Activation Maximization for 3D Global ExplanationsCode0
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness—0
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models—0
Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metric—0
Predictive Analysis for Optimizing Port Operations—0
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning—0
GTAutoAct: An Automatic Datasets Generation Framework Based on Game Engine Redevelopment for Action Recognition—0
Multi-Agent Diagnostics for Robustness via Illuminated Diversity—0
Position: AI/ML Influencers Have a Place in the Academic Process—0
How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment—0
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects—0
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size—0
Benchmarking the Fairness of Image Upsampling MethodsCode0
UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation—0
Local Diversity of Condorcet DomainsCode0
An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction—0
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup IdentificationCode0
Enhancing Recommendation Diversity by Re-ranking with Large Language Models—0
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders—0
Measuring Policy Distance for Multi-Agent Reinforcement LearningCode0
Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects—0
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