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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
Multilingual Diversity Improves Vision-Language Representations—0
A systematic dataset generation technique applied to data-driven automotive aerodynamics—0
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers—0
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness—0
Multilingual Pragmaticon: Database of Discourse Formulae—0
Multilingual Prompting for Improving LLM Generation Diversity—0
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions—0
Multilingual Topic Classification in X: Dataset and Analysis—0
Multilingual Whispers: Generating Paraphrases with Translation—0
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization—0
A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation—0
TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population—0
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction—0
Asynch-SGBDT: Asynchronous Parallel Stochastic Gradient Boosting Decision Tree based on Parameters Server—0
Multimodal Alignment and Fusion: A Survey—0
Multimodal Color Recommendation in Vector Graphic Documents—0
Multimodal Conditional Image Synthesis with Product-of-Experts GANs—0
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation—0
Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers—0
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization—0
Asymptotic analysis of V-BLAST MIMO for coherent optical wireless communications in Gamma-Gamma turbulence—0
Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation—0
Asymmetric Image Retrieval with Cross Model Compatible Ensembles—0
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information—0
TrustAL: Trustworthy Active Learning using Knowledge Distillation—0
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