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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 1776–1800 of 9051 papers

TitleStatusHype
A Survey on Backbones for Deep Video Action Recognition—0
A Survey on 3D Skeleton Based Person Re-Identification: Approaches, Designs, Challenges, and Future Directions—0
AI Fairness for People with Disabilities: Point of View—0
Active Learning Principles for In-Context Learning with Large Language Models—0
A survey of part-of-speech tagging approaches applied to K’iche’—0
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI—0
Active Learning on Synthons for Molecular Design—0
Abnormal Event Detection In Videos Using Deep Embedding—0
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces—0
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model—0
DATTA: Towards Diversity Adaptive Test-Time Adaptation in Dynamic Wild World—0
A Survey of Constraint Formulations in Safe Reinforcement Learning—0
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning—0
Artificial Intelligence Development Races in Heterogeneous Settings—0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
A study of quality and diversity in K+1 GANs—0
AIDE: Task-Specific Fine Tuning with Attribute Guided Multi-Hop Data Expansion—0
Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
Construction of Responsive Utterance Corpus for Attentive Listening Response Production—0
A study of conceptual language similarity: comparison and evaluation—0
Construction and optimization of health behavior prediction model for the elderly in smart elderly care—0
Constructing Enhanced Mutual Information for Online Class-Incremental Learning—0
AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations—0
AID++: An Updated Version of AID on Scene Classification—0
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