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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 6026–6050 of 9051 papers

TitleStatusHype
NOSE Augment: Fast and Effective Data Augmentation Without Searching—0
Not even wrong: Reply to Wagg et al—0
A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time consideration: A Case Study in Sea Port—0
Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas—0
Novel Methods for Analyzing Cellular Interactions in Deep Learning-Based Image Cytometry: Spatial Interaction Potential and Co-Localization Index—0
Ultra-Wideband Antenna with MIMO Diversity for 5G Wireless Communication—0
NoveltyBench: Evaluating Language Models for Humanlike Diversity—0
Fast Rates in Pool-Based Batch Active Learning—0
Simple yet Effective Way for Improving the Performance of GAN—0
NSOAMT -- New Search Only Approach to Machine Translation—0
NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers—0
A Simple Reward-free Approach to Constrained Reinforcement Learning—0
A Simple Measure of Economic Complexity—0
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems—0
A Simple Dual-decoder Model for Generating Response with Sentiment—0
A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection—0
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation—0
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation—0
N-Version Assessment and Enhancement of Generative AI—0
Nyström landmark sampling and regularized Christoffel functions—0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph—0
Objaverse: A Universe of Annotated 3D Objects—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding—0
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