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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 2651–2700 of 9051 papers

TitleStatusHype
Brain Tumor Synthetic Data Generation with Adaptive StyleGANsCode0
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided ParaphrasingCode0
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple ExpertsCode0
Analyzing the Dialect Diversity in Multi-document SummariesCode0
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic HiringCode0
Bench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive VehiclesCode0
Detecting Visual Relationships with Deep Relational NetworksCode0
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target ImputationCode0
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through OptionsCode0
Flow-Grounded Spatial-Temporal Video Prediction from Still ImagesCode0
Behind Recommender Systems: the Geography of the ACM RecSys CommunityCode0
Generating Neural Networks with Neural NetworksCode0
DESTEIN: Navigating Detoxification of Language Models via Universal Steering Pairs and Head-wise Activation FusionCode0
First U-Net Layers Contain More Domain Specific Information Than The Last OnesCode0
First the worst: Finding better gender translations during beam searchCode0
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical DataCode0
Diversity and Generalization in Neural Network EnsemblesCode0
Latent Space is Feature Space: Regularization Term for GANs Training on Limited DatasetCode0
Finer Metagenomic Reconstruction via Biodiversity OptimizationCode0
Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation LearningCode0
FireFly A Synthetic Dataset for Ember Detection in WildfireCode0
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and FlatnessCode0
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationCode0
Learning a Mixture of Granularity-Specific Experts for Fine-Grained CategorizationCode0
Finding A Voice: Evaluating African American Dialect Generation for Chatbot TechnologyCode0
BEGAN: Boundary Equilibrium Generative Adversarial NetworksCode0
Describing like humans: on diversity in image captioningCode0
Learning Diverse Features in Vision Transformers for Improved GeneralizationCode0
Beer Organoleptic Optimisation: Utilising Swarm Intelligence and Evolutionary Computation MethodsCode0
Learning Diversified Feature Representations for Facial Expression Recognition in the WildCode0
Few-Shot Specific Emitter Identification via Hybrid Data Augmentation and Deep Metric LearningCode0
Diversity Augmented Conditional Generative Adversarial Network for Enhanced Multimodal Image-to-Image TranslationCode0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
Fine-Grained Detoxification via Instance-Level Prefixes for Large Language ModelsCode0
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine TranslationCode0
BEE: Metric-Adapted Explanations via Baseline Exploration-ExploitationCode0
DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology DiagnosisCode0
Analysis of the first Genetic Engineering Attribution ChallengeCode0
Few-shot Personalization of LLMs with Mis-aligned ResponsesCode0
Few-shot Image Generation with Diffusion ModelsCode0
Few-shot Image Generation via Masked DiscriminationCode0
Diversity in deep generative models and generative AICode0
Federated Voxel Scene Graph for Intracranial HemorrhageCode0
Federated Neural Topic ModelsCode0
Federated Stain Normalization for Computational PathologyCode0
Feature Space Particle Inference for Neural Network EnsemblesCode0
FedCCRL: Federated Domain Generalization with Cross-Client Representation LearningCode0
Diversity Aware Relevance Learning for Argument SearchCode0
Federated Visual Classification with Real-World Data DistributionCode0
Few-shot Quality-Diversity OptimizationCode0
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