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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 3601–3650 of 9051 papers

TitleStatusHype
Content-Diverse Comparisons improve IQA—0
Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES—0
Faster and Smarter AutoAugment: Augmentation Policy Search Based on Dynamic Data-Clustering—0
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning—0
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity—0
Fast inverse lithography based on a model-driven block stacking convolutional neural network—0
Fast Re-Optimization via Structural Diversity—0
Boost Neural Networks by Checkpoints—0
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning—0
Fatal errors and misuse of mathematics in the Hong-Page Theorem and Landemore's epistemic argument—0
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features—0
Fault Detection in Mobile Networks Using Diffusion Models—0
FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition—0
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting—0
A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy—0
FDA Jamming Against Airborne Phased-MIMO Radar-Part I: Matched Filtering and Spatial Filtering—0
FDNAS: Improving Data Privacy and Model Diversity in AutoML—0
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations—0
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers—0
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look—0
Diversidade linguística e inclusão digital: desafios para uma ia brasileira—0
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation—0
An Improved LSHADE-RSP Algorithm with the Cauchy Perturbation: iLSHADE-RSP—0
Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems—0
Feature-based Style Randomization for Domain Generalization—0
Feature diversity in self-supervised learning—0
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification—0
Feature Extraction via Recurrent Random Deep Ensembles and its Application in Gruop-level Happiness Estimation—0
Feature Fusion Detector for Semantic Cognition of Remote Sensing—0
Diverse Yet Efficient Retrieval using Hash Functions—0
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation—0
Feature Selection Based on Term Frequency and T-Test for Text Categorization—0
iTool: Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning—0
Feature Selection for Classification under Anonymity Constraint—0
Feature Statistics Guided Efficient Filter Pruning—0
Feature Weighted Non-negative Matrix Factorization—0
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment—0
FedAvgen: Metadata for Model Aggregation In Communication Systems—0
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning—0
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality—0
FedDAR: Federated Domain-Aware Representation Learning—0
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning—0
Diverse Video Captioning Through Latent Variable Expansion—0
Federated Data Model—0
Federated Learning Empowered by Generative Content—0
Federated Learning for Emoji Prediction in a Mobile Keyboard—0
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size—0
Federated Learning Meets Fluid Antenna: Towards Robust and Scalable Edge Intelligence—0
Federated Learning for Personalized Humor Recognition—0
An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction—0
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