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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 7876–7900 of 9051 papers

TitleStatusHype
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis—0
CSECU-DSG at SemEval-2022 Task 11: Identifying the Multilingual Complex Named Entity in Text Using Stacked Embeddings and Transformer based Approach—0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
cs_english@LT-EDI-EACL2021: Hope Speech Detection Based On Fine-tuning ALBERT Model—0
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability—0
CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool—0
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models—0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis—0
CTR-Guided Generative Query Suggestion in Conversational Search—0
Cost-Effective Cyber-Physical System Prototype for Precision Agriculture with a Focus on Crop Growth—0
CtrTab: Tabular Data Synthesis with High-Dimensional and Limited Data—0
CT-SGAN: Computed Tomography Synthesis GAN—0
CTSyn: A Foundational Model for Cross Tabular Data Generation—0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation—0
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution—0
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints—0
Cuid: A new study of perceived image quality and its subjective assessment—0
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network—0
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints—0
Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms—0
Cultivating DNN Diversity for Large Scale Video Labelling—0
Semantic and Expressive Variation in Image Captions Across Languages—0
VisualLens: Personalization through Visual History—0
Subset Selection and Summarization in Sequential Data—0
Cultural Diversity and Its Impact on Governance—0
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