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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 5951–5975 of 9051 papers

TitleStatusHype
Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity—0
Neural Network Verification for the Masses (of AI graduates)—0
Neural representation and generation for RNA secondary structures—0
Neural Response Generation via GAN with an Approximate Embedding Layer—0
Neural Response Generation with Meta-Words—0
Neural Story Planning—0
Assessing fish abundance from underwater video using deep neural networks—0
Assessing Distractors in Multiple-Choice Tests—0
Neural Text Generation: Past, Present and Beyond—0
UAV 3-D path planning based on MOEA/D with adaptive areal weight adjustment—0
Neural Text Summarization: A Critical Evaluation—0
Neural User Simulation for Corpus-based Policy Optimisation of Spoken Dialogue Systems—0
Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems—0
ASR4REAL: An extended benchmark for speech models—0
A Classifier-free Ensemble Selection Method based on Data Diversity in Random Subspaces—0
A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning—0
A species of Coprococcus is related to BMI in patients who underwent malabsorptive bariatric surgery and its abundance is modified by magnesium and thiamin intake—0
Neuronal heterogeneity modulates phase-synchronization between unidirectionally coupled populations with excitation-inhibition balance—0
Neuro-Symbolic Data Generation for Math Reasoning—0
Neutral Diversity in Experimental Metapopulations—0
Neutral phylogenetic models and their role in tree-based biodiversity measures—0
Neutral theory of cooperators—0
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld—0
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem—0
New confidence interval methods for Shannon index—0
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