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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 6301–6325 of 9051 papers

TitleStatusHype
Outage Performance Analysis of Widely Linear Receivers in Uplink Multi-user MIMO Systems—0
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems—0
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization—0
Out-of-Core Surface Reconstruction via Global TGV Minimization—0
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble—0
Understanding Likelihood Over-optimisation in Direct Alignment Algorithms—0
A Regression Framework for Predicting User's Next Location using Call Detail Records—0
Out-of-the-Box and into the Ditch? Multilingual Evaluation of Generic Text Extraction Tools—0
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information?—0
Understanding Model Ensemble in Transferable Adversarial Attack—0
Overcoming Difficulty in Obtaining Dark-skinned Subjects for Remote-PPG by Synthetic Augmentation—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Are generative models fair? A study of racial bias in dermatological image generation—0
Overlooked Data in Typological Databases: What Grambank Teaches Us About Gaps in Grammars—0
Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion—0
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning—0
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?—0
P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for data pruning in LLM Training—0
PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach—0
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios—0
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection—0
Packed-Ensembles for Efficient Uncertainty Estimation—0
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT—0
Spatial Structure Supports Diversity in Prebiotic Autocatalytic Chemical Ecosystems—0
PainDiffusion: Can robot express pain?—0
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