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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 1676–1700 of 9051 papers

TitleStatusHype
Audio-to-Score Conversion Model Based on Whisper methodology—0
Audio-to-Image Cross-Modal Generation—0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task—0
Audio Generation with Multiple Conditional Diffusion Model—0
A Two-stage Evolutionary Framework For Multi-objective Optimization—0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
A DAFT Based Unified Waveform Design Framework for High-Mobility Communications—0
A two-stage algorithm in evolutionary product unit neural networks for classification—0
A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization—0
An Algorithm for Multi-Attribute Diverse Matching—0
A Tutorial On Intersectionality in Fair Rankings—0
Attribution for Enhanced Explanation with Transferable Adversarial eXploration—0
Algorithmic Scenario Generation as Quality Diversity Optimization—0
A Case Study of User Communication Styles with Customer Service Agents versus Intelligent Virtual Agents—0
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval—0
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification—0
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes—0
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control—0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, and modularity—0
Customizing an Adversarial Example Generator with Class-Conditional GANs—0
Attribute analysis with synthetic dataset for person re-identification—0
A Learning Scheme for Microgrid Islanding and Reconnection—0
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