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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 3276–3300 of 9051 papers

TitleStatusHype
RankAug: Augmented data ranking for text classification—0
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems—0
Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition—0
Prediction of viral spillover risk based on the mass action principle—0
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation—0
Bias and Diversity in Synthetic-based Face Recognition—0
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
Measuring Adversarial Datasets—0
Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking—0
Tailoring Self-Rationalizers with Multi-Reward DistillationCode0
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis—0
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols—0
LLMs grasp morality in concept—0
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance—0
Perturbation-based Active Learning for Question Answering—0
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation—0
Carrier Frequency Offset Estimation for OCDM with Null Subchirps—0
Domain Randomization via Entropy Maximization—0
Mix-ME: Quality-Diversity for Multi-Agent Learning—0
Data-Free Distillation of Language Model by Text-to-Text Transfer—0
Data-Centric Long-Tailed Image Recognition—0
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysisCode1
Task-Agnostic Low-Rank Adapters for Unseen English DialectsCode0
Statistical Results of Multivariate Fox-H Function for Exact Performance Analysis of RIS-Assisted Wireless Communication—0
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors—0
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