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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 8901–8950 of 9051 papers

TitleStatusHype
Portfolio optimization for heavy-tailed assets: Extreme Risk Index vs. Markowitz—0
Rank diversity of languages: Generic behavior in computational linguistics—0
A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization—0
Cooperative Intergroup Mating Can Overcome Ethnocentrism in Diverse Populations—0
CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forumsCode0
An Active Learning Based Approach For Effective Video Annotation And Retrieval—0
When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization—0
Estimation of genetic diversity in viral populations from next generation sequencing data with extremely deep coverage—0
Structural Learning of Diverse Ranking—0
Topic-focused Dynamic Information Filtering in Social Media—0
Negatively Correlated Search—0
A multi-platform metabolomics approach identifies novel biomarkers associated with bacterial diversity in the human vagina—0
Predicting Complete 3D Models of Indoor ScenesCode0
An Online Approach to Dynamic Channel Access and Transmission Scheduling—0
A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems—0
Using novelty-biased GA to sample diversity in graphs satisfying constraints—0
Block-Wise MAP Inference for Determinantal Point Processes with Application to Change-Point Detection—0
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications—0
Learning to Detect Vehicles by Clustering Appearance Patterns—0
Hierarchical learning of grids of microtopics—0
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical DataCode0
Information entropy as an anthropomorphic concept—0
An investigation into language complexity of World-of-Warcraft game-external texts—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
Life history evolution and the origin of multicellularity: differentiation of types, energy constraints, non-linear curvatures of trade-off functions—0
A new efficient Matching method for web services substitution—0
Characterizing the dynamics of rubella relative to measles: the role of stochasticity—0
Unsupervised Segmentation of Multispectral Images with Cellular Automata—0
Annotating Cognates and Etymological Origin in Turkic Languages—0
Analysing domain shift factors between videos and images for object detectionCode0
Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks—0
Automatic Discovery and Optimization of Parts for Image Classification—0
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection—0
Sparsity and adaptivity for the blind separation of partially correlated sourcesCode0
Self-Paced Learning with Diversity—0
Learning Mixtures of Submodular Functions for Image Collection Summarization—0
Learning Deep Features for Scene Recognition using Places Database—0
Diversifying Sparsity Using Variational Determinantal Point Processes—0
Diversity Handling In Evolutionary Landscape—0
A unified view of generative models for networks: models, methods, opportunities, and challenges—0
DUM: Diversity-Weighted Utility Maximization for Recommendations—0
Large-Margin Determinantal Point Processes—0
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets—0
Expectation-Maximization for Learning Determinantal Point Processes—0
Entropy of Overcomplete Kernel Dictionaries—0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
POLYGLOT-NER: Massive Multilingual Named Entity Recognition—0
Replicate immunosequencing as a robust probe of B cell repertoire diversity—0
Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation—0
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection—0
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