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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 2851–2900 of 9051 papers

TitleStatusHype
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary EvaluationCode0
Deep Metric Learning with BIER: Boosting Independent Embeddings RobustlyCode0
Capturing the diversity of multilingual societiesCode0
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium PhysicsCode0
Federated Neural Topic ModelsCode0
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation NetworksCode0
FairER: Entity Resolution with Fairness ConstraintsCode0
Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networksCode0
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimalityCode0
Deep Learning Models for Atypical Serotonergic Cells RecognitionCode0
Hypergraph Clustering for Finding Diverse and Experienced GroupsCode0
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataCode0
Fairness and Diversity in Recommender Systems: A SurveyCode0
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related QueriesCode0
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion AnalysisCode0
Facts That MatterCode0
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental ComparisonsCode0
Negative Training for Neural Dialogue Response GenerationCode0
Facilitating bootstrapped and rarefaction-based microbiome diversity analysis with q2-bootsCode0
Neural-based Modeling for Performance Tuning of Spark Data AnalyticsCode0
Fair and Diverse DPP-based Data SummarizationCode0
Fair and accurate age prediction using distribution aware data curation and augmentationCode0
FaceCoresetNet: Differentiable Coresets for Face Set RecognitionCode0
Expressivity of Parameterized and Data-driven Representations in Quality Diversity SearchCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Exploring the Role of Node Diversity in Directed Graph Representation LearningCode0
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationCode0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
Exploring the Performance-Reproducibility Trade-off in Quality-DiversityCode0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
Cats or CAT scans: transfer learning from natural or medical image source datasets?Code0
New Metrics to Encourage Innovation and Diversity in Information Retrieval ApproachesCode0
Fair Summarization: Bridging Quality and Diversity in Extractive SummariesCode0
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant RecommendationsCode0
Exploring Sparsity for Parameter Efficient Fine Tuning Using WaveletsCode0
Deep Hashing with Category Mask for Fast Video RetrievalCode0
Exploring the Capabilities of Large Language Models for Generating Diverse Design SolutionsCode0
Exploring Precision and Recall to assess the quality and diversity of LLMsCode0
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class AnnealingCode0
Exploring Model Consensus to Generate Translation ParaphrasesCode0
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution StrategiesCode0
DPPy: Sampling DPPs with PythonCode0
Nondeterminism and Instability in Neural Network OptimizationCode0
Exploring Model Learning Heterogeneity for Boosting Ensemble RobustnessCode0
Exploring the Evolution of GANs through Quality DiversityCode0
Exploring Diversity in Back Translation for Low-Resource Machine TranslationCode0
Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO VarianceCode0
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
Exploring Flat Minima for Domain Generalization with Large Learning RatesCode0
Bags of Projected Nearest Neighbours: Competitors to Random Forests?Code0
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