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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 3426–3450 of 9051 papers

TitleStatusHype
An Optimism-based Approach to Online Evaluation of Generative Models—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
Systematic evaluation of the isolated effect of tissue environment on the transcriptome using a single-cell RNA-seq atlas dataset—0
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
Optimisation of federated learning settings under statistical heterogeneity variations—0
mHuBERT-147: A Compact Multilingual HuBERT ModelCode0
UnSupDLA: Towards Unsupervised Document Layout Analysis—0
SSCL-IDS: Enhancing Generalization of Intrusion Detection with Self-Supervised Contrastive LearningCode0
Learning Continually by Spectral Regularization—0
The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems—0
Data Augmentation in Earth Observation: A Diffusion Model Approach—0
Contrastive Learning from Synthetic Audio Doppelgängers—0
Robust portfolio optimization for recommender systems considering uncertainty of estimated statistics—0
An Efficient Framework for Crediting Data Contributors of Diffusion Models—0
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models—0
Diverse 3D Human Pose Generation in Scenes based on Decoupled Structure—0
Creativity Has Left the Chat: The Price of Debiasing Language Models—0
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language ModelsCode0
Select-Mosaic: Data Augmentation Method for Dense Small Object ScenesCode0
Baking Symmetry into GFlowNets—0
CTSyn: A Foundational Model for Cross Tabular Data Generation—0
Language Guided Skill Discovery—0
CityCraft: A Real Crafter for 3D City Generation—0
HateDebias: On the Diversity and Variability of Hate Speech Debiasing—0
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