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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 4326–4350 of 9051 papers

TitleStatusHype
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information?—0
Ensemble-based Adversarial Defense Using Diversified Distance Mapping—0
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models—0
Enrich the content of the image Using Context-Aware Copy Paste—0
Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring—0
Coevolutionary Pareto Diversity Optimization—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
StyLitGAN: Prompting StyleGAN to Produce New Illumination Conditions—0
Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features—0
Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem—0
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving—0
Invariance Principle Meets Vicinal Risk Minimization—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Are generative models fair? A study of racial bias in dermatological image generation—0
Enhancing weed detection performance by means of GenAI-based image augmentation—0
Enhancing the Transferability of Adversarial Attacks via Scale Ensemble—0
Adaptive Channel Allocation for Robust Differentiable Architecture Search—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
A cross-study analysis of drug response prediction in cancer cell lines—0
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications—0
Contrastive Learning for Image Complexity Representation—0
Enhancing the long-term performance of recommender system—0
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code—0
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