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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 5776–5800 of 9051 papers

TitleStatusHype
Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar—0
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection—0
Topic-focused Dynamic Information Filtering in Social Media—0
Topic Modeling as Multi-Objective Contrastive Optimization—0
Topic Modeling in Marathi—0
Topic-to-essay generation with knowledge-based content selection—0
Top-N recommendations in the presence of sparsity: An NCD-based approach—0
Top-nσ: Not All Logits Are You Need—0
Topological conditions drive stability in meta-ecosystems—0
Topological Data Analysis of Spatial Patterning in Heterogeneous Cell Populations: Clustering and Sorting with Varying Cell-Cell Adhesion—0
Topologically Robust 3D Shape Matching via Gradual Deflation and Inflation—0
Topology-Aware Latent Diffusion for 3D Shape Generation—0
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift—0
Total consensus under high reproductive-variance conditions—0
Total-Duration-Aware Duration Modeling for Text-to-Speech Systems—0
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts—0
Touring sampling with pushforward maps—0
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes—0
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks—0
Toward a Robust Diversity-Based Model to Detect Changes of Context—0
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity—0
The effects of ecological selection on species diversity and trait distribution: predictions and an empirical test—0
Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy—0
Toward Diverse Precondition Generation—0
Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies—0
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