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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

Showing 36263650 of 9051 papers

TitleStatusHype
Feature diversity in self-supervised learning0
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification0
Feature Extraction via Recurrent Random Deep Ensembles and its Application in Gruop-level Happiness Estimation0
Feature Fusion Detector for Semantic Cognition of Remote Sensing0
Diverse Yet Efficient Retrieval using Hash Functions0
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation0
Feature Selection Based on Term Frequency and T-Test for Text Categorization0
iTool: Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning0
Feature Selection for Classification under Anonymity Constraint0
Feature Statistics Guided Efficient Filter Pruning0
Feature Weighted Non-negative Matrix Factorization0
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment0
FedAvgen: Metadata for Model Aggregation In Communication Systems0
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning0
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality0
FedDAR: Federated Domain-Aware Representation Learning0
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning0
Diverse Video Captioning Through Latent Variable Expansion0
Federated Data Model0
Federated Learning Empowered by Generative Content0
Federated Learning for Emoji Prediction in a Mobile Keyboard0
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size0
Federated Learning Meets Fluid Antenna: Towards Robust and Scalable Edge Intelligence0
Federated Learning for Personalized Humor Recognition0
An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction0
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