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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 3726–3750 of 9051 papers

TitleStatusHype
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions—0
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media—0
Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction—0
Finger-GAN: Generating Realistic Fingerprint Images Using Connectivity Imposed GAN—0
Fingerprinting Search Keywords over HTTPS at Scale—0
Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM—0
FinTextQA: A Dataset for Long-form Financial Question Answering—0
Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems—0
Exploring Global Diversity and Local Context for Video Summarization—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
Fisher-Wright model with deterministic seed bank and selection—0
FisHook -- An Optimized Approach to Marine Specie Classification using MobileNetV2—0
Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel Disease: A Systematic Review—0
Fitts' Law for speed-accuracy trade-off describes a diversity-enabled sweet spot in sensorimotor control—0
Computational Typology—0
Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires—0
Exploring Diverse Sounds: Identifying Outliers in a Music Corpus—0
Computational models of learning and synaptic plasticity—0
A Simple Measure of Economic Complexity—0
Exploring Diverse Expressions for Paraphrase Generation—0
Computational historical linguistics and language diversity in South Asia—0
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback—0
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