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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 8001–8025 of 9051 papers

TitleStatusHype
Data Instance Prior for Transfer Learning in GANs—0
Data InStance Prior (DISP) in Generative Adversarial Networks—0
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development—0
Data Measurements for Decentralized Data Markets—0
Systematic evaluation of the isolated effect of tissue environment on the transcriptome using a single-cell RNA-seq atlas dataset—0
Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy—0
Data Quality in Imitation Learning—0
Data Representation and Compression Using Linear-Programming Approximations—0
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision—0
Super-resolution Reconstruction of Single Image for Latent features—0
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing—0
Dataset Bias in Few-shot Image Recognition—0
Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification—0
Coordinated Spectral Efficiency Prediction for Real-World 5G CoMP Systems—0
VisualQuest: A Diverse Image Dataset for Evaluating Visual Recognition in LLMs—0
Dataset Geography: Mapping Language Data to Language Users—0
Visual Reasoning with Natural Language—0
Coordinated Exploration in Concurrent Reinforcement Learning—0
Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review—0
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds—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
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild—0
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition—0
DCAN: Diversified News Recommendation with Coverage-Attentive Networks—0
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