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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 4751–4775 of 9051 papers

TitleStatusHype
Probabilistic Regressor Chains with Monte Carlo Methods—0
Probabilistic Semantic Retrieval for Surveillance Videos with Activity Graphs—0
Probing Contextualized Sentence Representations with Visual Awareness—0
Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models—0
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study—0
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow—0
Program Translation via Code Distillation—0
Progress and open problems in evolutionary dynamics—0
Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval—0
Progressive growing of self-organized hierarchical representations for exploration—0
Progressive Mirror Detection—0
Progressive Multimodal Reasoning via Active Retrieval—0
Progressive Multi-view Human Mesh Recovery with Self-Supervision—0
Progressive Open-Domain Response Generation with Multiple Controllable Attributes—0
Progressive Random Convolutions for Single Domain Generalization—0
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification—0
Progressive trajectory matching for medical dataset distillation—0
Progress or Regress? Self-Improvement Reversal in Post-training—0
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs—0
Progress towards quantitative design principles of multicellular systems—0
Projections of Economic Impacts of Climate Change on Marine Protected Areas: Palau, the Great Barrier Reef, and the Bering Sea—0
Prokaryotic genome editing based on the subtype I-B-Svi CRISPR-Cas system—0
Promoting Diversity for End-to-End Conversation Response Generation—0
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation—0
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition—0
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