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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 5201–5225 of 9051 papers

TitleStatusHype
WLD-Reg: A Data-dependent Within-layer Diversity RegularizerCode0
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning—0
Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking—0
Self-Evolved Dynamic Expansion Model for Task-Free Continual LearningCode0
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and ScenesCode0
Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual LearningCode0
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild—0
Hybrid Active Learning via Deep Clustering for Video Action Detection—0
SiLK: Simple Learned Keypoints—0
Mask-Guided Matting in the Wild—0
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature FusionCode0
Text-Driven Generative Domain Adaptation with Spectral Consistency RegularizationCode0
MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape RecoveryCode0
Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation—0
Quality Diversity for Visual Pre-Training—0
CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images—0
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
Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm—0
Topological Data Analysis of Spatial Patterning in Heterogeneous Cell Populations: Clustering and Sorting with Varying Cell-Cell Adhesion—0
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