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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 2651–2675 of 9051 papers

TitleStatusHype
A Novel BiLevel Paradigm for Image-to-Image Translation—0
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity—0
Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates—0
A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks—0
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion—0
ECGAN: Self-supervised generative adversarial network for electrocardiography—0
Can Language Models Reason about Individualistic Human Values and Preferences?—0
Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting?—0
A Novel 3D Non-Stationary Channel Model for 6G Indoor Visible Light Communication Systems—0
An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes—0
Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models—0
Can genomic analysis actually estimate past population size?—0
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks—0
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging—0
Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?—0
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis—0
3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection—0
Echo-chambers and Idea Labs: Communication Styles on Twitter—0
Can Data Diversity Enhance Learning Generalization?—0
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data—0
A Note on the Global Convergence of Multilayer Neural Networks in the Mean Field Regime—0
A note on the Diversity Owen values—0
Advancing the Arabic WordNet: Elevating Content Quality—0
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