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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 5626–5650 of 9051 papers

TitleStatusHype
The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses—0
The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction—0
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph—0
The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training—0
Ethical Considerations and Statistical Analysis of Industry Involvement in Machine Learning Research—0
The Bures Metric for Generative Adversarial Networks—0
The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks—0
The Case for Bayesian Deep Learning—0
The Complexity of Genetic Diversity—0
The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization—0
The Core & Periphery Hypothesis: A Conceptual Basis for Generality in Cell and Developmental Biology—0
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation—0
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence—0
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence—0
The Data Science Fire Next Time: Innovative strategies for mentoring in data science—0
The Deepfake Detection Challenge (DFDC) Preview Dataset—0
The Determinants of Net Interest Margin in the Turkish Banking Sector: Does Bank Ownership Matter?—0
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning—0
The Diversity Metrics of Sub-models based on SVD of Jacobians for Ensembles Adversarial Robustness—0
The Diversity of Argument-Making in the Wild: from Assumptions and Definitions to Causation and Anecdote in Reddit's "Change My View"—0
The dynamics of diversity on corporate boards—0
The economics of global personality diversity—0
The economics of minority language use: theory and empirical evidence for a language game model—0
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR—0
The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation—0
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