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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 2626–2650 of 9051 papers

TitleStatusHype
From Distributional to Overton Pluralism: Investigating Large Language Model AlignmentCode0
Analyzing the Habitable Zones of Circumbinary Planets Using Machine LearningCode0
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through OptionsCode0
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
To Ensemble or Not Ensemble: When does End-To-End Training Fail?Code0
Determinantal Point Process as an alternative to NMSCode0
Flow-Grounded Spatial-Temporal Video Prediction from Still ImagesCode0
Analyzing the Dialect Diversity in Multi-document SummariesCode0
Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field SamplingCode0
Bench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive VehiclesCode0
Detecting Visual Relationships with Deep Relational NetworksCode0
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and FlatnessCode0
Flexible Modeling of Diversity with Strongly Log-Concave DistributionsCode0
A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning ModelsCode0
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and AccuracyCode0
First the worst: Finding better gender translations during beam searchCode0
FireFly A Synthetic Dataset for Ember Detection in WildfireCode0
First U-Net Layers Contain More Domain Specific Information Than The Last OnesCode0
Behind Recommender Systems: the Geography of the ACM RecSys CommunityCode0
Finer Metagenomic Reconstruction via Biodiversity OptimizationCode0
Flickr-PAD: New Face High-Resolution Presentation Attack Detection DatabaseCode0
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in HanabiCode0
DESTEIN: Navigating Detoxification of Language Models via Universal Steering Pairs and Head-wise Activation FusionCode0
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationCode0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
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