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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 6276–6300 of 9051 papers

TitleStatusHype
Intrinsic Image Captioning Evaluation—0
Intrinsic meaning, perception, and matching—0
Introducing Coherent MIMO Sensing, a fading-resilient, polarization-independent approach to phase-OTDR—0
Introducing MULAI: A Multimodal Database of Laughter during Dyadic Interactions—0
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets—0
Introducing the CLARIN Knowledge Centre for Linguistic Diversity and Language Documentation—0
Introducing the diagrammatic semiotic mode—0
Introduction of a novel word embedding approach based on technology labels extracted from patent data—0
Introduction to the Artificial Intelligence that can be applied to the Network Automation Journey—0
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning—0
Invasion and Interaction Determine Population Composition in an Open Evolving System—0
Inverse problems with experiment-guided AlphaFold—0
Graph Inverse Reinforcement Learning from Diverse Videos—0
Inverse Relationship Between Molecular Diversity And Resource Abundances—0
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension—0
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study—0
Investigating Shifts in GAN Output-Distributions—0
Investigating the effects Diversity Mechanisms have on Evolutionary Algorithms in Dynamic Environments—0
Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model—0
Investigating the Impact of Text Summarization on Topic Modeling—0
Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles—0
Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes—0
Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising—0
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN—0
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data—0
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