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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 3701–3725 of 9051 papers

TitleStatusHype
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model—0
Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning—0
Filter-based Discriminative Autoencoders for Children Speech Recognition—0
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns—0
Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study—0
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries—0
Simple yet Effective Way for Improving the Performance of GAN—0
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction—0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
Finding Pragmatic Differences Between Disciplines—0
Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation—0
Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion—0
Exploring Implicit Sentiment Evoked by Fine-grained News Events—0
Finding Support Examples for In-Context Learning—0
Fine-grained Activities of People Worldwide—0
Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone—0
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media—0
Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems—0
Exploring Global Diversity and Local Context for Video Summarization—0
Fine-grained Semantic Constraint in Image Synthesis—0
Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation—0
A Simple Reward-free Approach to Constrained Reinforcement Learning—0
A hierarchical fusion framework integrating random projection-based classifiers: application in head and neck squamous carcinoma cancer—0
Data Augmentation by Fuzzing for Neural Test Generation—0
Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel Disease: A Systematic Review—0
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