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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 8726–8750 of 9051 papers

TitleStatusHype
Expansion under climate change: the genetic consequences—0
The multiplicity of memory enhancement: Practical and ethical implications of the diverse neural substrates underlying human memory systems—0
Pose-Selective Max Pooling for Measuring SimilarityCode0
On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off—0
PixelNet: Towards a General Pixel-level Architecture—0
An Approach for Self-Training Audio Event Detectors Using Web Data—0
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography—0
The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition—0
Mathematical toy model inspired by the problem of the adaptive origins of the sexual orientation continuum—0
Inhibitory loop robustly induces anticipated synchronization in neuronal microcircuits—0
A Flexible Recommendation System for Cable TV—0
Making Deep Neural Networks Robust to Label Noise: a Loss Correction ApproachCode0
Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization—0
Symmetric and Asymmetric Tendencies in Stable Complex Systems—0
A genomic map of the effects of linked selection in Drosophila—0
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption GenerationCode1
Escaping Local Optima using Crossover with Emergent or Reinforced Diversity—0
SimVerb-3500: A Large-Scale Evaluation Set of Verb SimilarityCode0
Heterogeneous Strategy Particle Swarm Optimization—0
Fisher-Wright model with deterministic seed bank and selection—0
Comeback kids: an evolutionary approach of the long-run innovation process—0
Joint Event Detection and Entity Resolution: a Virtuous Cycle—0
Interaction patterns and diversity in assembled ecological communities—0
The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction—0
On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes—0
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