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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 3501–3525 of 9051 papers

TitleStatusHype
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation—0
Assessing Intra-class Diversity and Quality of Synthetically Generated Images in a Biomedical and Non-biomedical Setting—0
AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI—0
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning—0
Conformity bias in the cultural transmission of music sampling traditions—0
Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks—0
Assessing fish abundance from underwater video using deep neural networks—0
ConfigTron: Tackling network diversity with heterogeneous configurations—0
Assessing Distractors in Multiple-Choice Tests—0
Confidence-Guided Semi-supervised Learning in Land Cover Classification—0
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout—0
Condorcet's Jury Theorem for Consensus Clustering and its Implications for Diversity—0
Condition-Transforming Variational AutoEncoder for Conversation Response Generation—0
ASR4REAL: An extended benchmark for speech models—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation—0
A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning—0
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration—0
A species of Coprococcus is related to BMI in patients who underwent malabsorptive bariatric surgery and its abundance is modified by magnesium and thiamin intake—0
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem—0
Extending a Tag-based Collaborative Recommender with Co-occurring Information Interests—0
Conditional Text Image Generation with Diffusion Models—0
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference—0
Exponential Natural Particle Filter—0
Conditional Temporal Variational AutoEncoder for Action Video Prediction—0
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