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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 4451–4475 of 9051 papers

TitleStatusHype
SiLK: Simple Learned Keypoints—0
Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking—0
Progressive Spatio-Temporal Prototype Matching for Text-Video RetrievalCode1
CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images—0
Quality Diversity for Visual Pre-Training—0
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face SynthesisCode1
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature FusionCode0
Mask-Guided Matting in the Wild—0
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and ScenesCode0
Hybrid Active Learning via Deep Clustering for Video Action Detection—0
Optimizing Readability Using Genetic AlgorithmsCode1
Market Design with Distributional Objectives—0
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek—0
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning—0
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countriesCode0
Result Diversification in Search and Recommendation: A SurveyCode0
Political representation bias in DBpedia and Wikidata as a challenge for downstream processing—0
Spatial Structure Supports Diversity in Prebiotic Autocatalytic Chemical Ecosystems—0
Topological Data Analysis of Spatial Patterning in Heterogeneous Cell Populations: Clustering and Sorting with Varying Cell-Cell Adhesion—0
Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm—0
Reconfigurable Holographic Surface: A New Paradigm to Implement Holographic Radio—0
Personalized Student Attribute Inference—0
Link-level simulator for 5G localizationCode0
Personalized Prediction of Offensive News Comments by Considering the Characteristics of Commenters—0
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer—0
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