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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 4351–4400 of 9051 papers

TitleStatusHype
A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts—0
Best-k Search Algorithm for Neural Text Generation—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
DiffCSS: Diverse and Expressive Conversational Speech Synthesis with Diffusion Models—0
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models—0
DiffCap: Exploring Continuous Diffusion on Image Captioning—0
BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search—0
Indian Masked Faces in the Wild Dataset—0
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages—0
Informational Diversity and Affinity Bias in Team Growth Dynamics—0
Cap2Aug: Caption guided Image to Image data Augmentation—0
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection—0
Bengali Common Voice Speech Dataset for Automatic Speech Recognition—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
Fast Rates in Pool-Based Batch Active Learning—0
Dictionary and Image Recovery from Incomplete and Random Measurements—0
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control—0
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization—0
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning—0
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation—0
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion—0
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models—0
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions—0
DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement—0
2D Human Pose Estimation: New Benchmark and State of the Art Analysis—0
DIANES: A DEI Audit Toolkit for News Sources—0
DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning—0
An Approach to the Analysis of the South Slavic Medieval Labels Using Image Texture—0
Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation—0
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation—0
An Approach for Self-Training Audio Event Detectors Using Web Data—0
DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs—0
Benchmarking state-of-the-art gradient boosting algorithms for classification—0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection—0
Incorporating Dialectal Variability for Socially Equitable Language Identification—0
Increasing Data Diversity with Iterative Sampling to Improve Performance—0
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering—0
Dialogue Language Model with Large-Scale Persona Data Engineering—0
An analytically tractable model for community ecology with many species—0
Additive Frequency Diverse Active Incoherent Millimeter-Wave Imaging—0
Dialect Transfer for Swiss German Speech Translation—0
Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English—0
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning—0
Dialect Diversity in Text Summarization on Twitter—0
Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks—0
An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization—0
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts—0
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