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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 4026–4050 of 9051 papers

TitleStatusHype
Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems—0
A new system for evaluating brand importance: A use case from the fashion industry—0
Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review—0
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification—0
Genetic diversity of barley accessions and their response under abiotic stresses using different approaches—0
Diverse Exploration for Fast and Safe Policy Improvement—0
Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems—0
A News Recommender System Considering Temporal Dynamics and Diversity—0
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification—0
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators—0
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation—0
How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment—0
How Chinese are Chinese Language Models? The Puzzling Lack of Language Policy in China's LLMs—0
How Does Data Diversity Shape the Weight Landscape of Neural Networks?—0
How Population Diversity Influences the Efficiency of Crossover—0
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images—0
Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment—0
IIIT_DWD@LT-EDI-EACL2021: Hope Speech Detection in YouTube multilingual comments—0
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization—0
Improving Controllability of Educational Question Generation by Keyword Provision—0
Customizing an Adversarial Example Generator with Class-Conditional GANs—0
Diverse Ensemble Evolution: Curriculum Data-Model Marriage—0
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding—0
Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors—0
Blessing of Class Diversity in Pre-training—0
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