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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 6901–6925 of 9051 papers

TitleStatusHype
A Niching Indicator-Based Multi-modal Many-objective Optimizer—0
Angle Sensitive Pixels for Lensless Imaging on Spherical Sensors—0
Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains—0
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention—0
Angle Diversity Trasmitter For High Speed Data Center Uplink Communications—0
Real-Time Hair Rendering using Sequential Adversarial Networks—0
Real-Time Visual Analysis of High-Volume Social Media Posts—0
Real-World Depth Recovery via Structure Uncertainty Modeling and Inaccurate GT Depth Fitting—0
Angle diversity receiver as a key enabler for reliable ORIS-based Visible Light Communication—0
A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem—0
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains—0
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training—0
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management—0
Recent advances and opportunities in scene classification of aerial images with deep models—0
Recent Advances in Diversified Recommendation—0
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark—0
An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation—0
Channel State Acquisition in Uplink NOMA for Cellular-Connected UAV: Exploitation of Doppler and Modulation Diversities—0
An Experimental Prototype for Multistatic Asynchronous ISAC—0
Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI—0
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution—0
Recognition of non-domain phrases in automatically extracted lists of terms—0
Recognizing long-form speech using streaming end-to-end models—0
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models—0
Recommendation Systems with Distribution-Free Reliability Guarantees—0
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