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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 3676–3700 of 9051 papers

TitleStatusHype
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders—0
Conceptors: an easy introduction—0
Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model—0
Concept-Monitor: Understanding DNN training through individual neurons—0
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI—0
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs—0
Few-Shot Learning with Intra-Class Knowledge Transfer—0
A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction—0
A high-accuracy multi-model mixing retrosynthetic method—0
Active learning for interactive satellite image change detection—0
A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem—0
Exploring Robot Morphology Spaces through Breadth-First Search and Random Query—0
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity—0
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty—0
Exploring open-ended gameplay features with Micro RollerCoaster Tycoon—0
Concept Drift Adaptation by Exploiting Historical Knowledge—0
A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time consideration: A Case Study in Sea Port—0
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
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
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
Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation—0
Exploring Implicit Sentiment Evoked by Fine-grained News Events—0
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