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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 3176–3200 of 9051 papers

TitleStatusHype
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis—0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark—0
Autocompletion interfaces make crowd workers slower, but their use promotes response diversity—0
Autocatalytic Sets and RNA Secondary Structure—0
Customizing an Adversarial Example Generator with Class-Conditional GANs—0
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning—0
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering—0
Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model—0
Curse of "Low" Dimensionality in Recommender Systems—0
Curriculum Learning with Diversity for Supervised Computer Vision Tasks—0
AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment—0
A User-Centered Investigation of Personal Music Tours—0
Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data—0
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks—0
Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review—0
A Universal Sets-level Optimization Framework for Next Set Recommendation—0
Current and future directions in network biology—0
A universally consistent learning rule with a universally monotone error—0
A Universality-Individuality Integration Model for Dialog Act Classification—0
Curiosity creates Diversity in Policy Search—0
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules—0
A Low Complexity Space-Frequency Multiuser Scheduling Algorithm—0
Adapting ELM to Time Series Classification: A Novel Diversified Top-k Shapelets Extraction Method—0
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts—0
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