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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 1651–1700 of 9051 papers

TitleStatusHype
Is Limited Participant Diversity Impeding EEG-based Machine Learning?Code0
Jacquard: A Large Scale Dataset for Robotic Grasp DetectionCode0
Latent Space is Feature Space: Regularization Term for GANs Training on Limited DatasetCode0
Investigating Metric Diversity for Evaluating Long Document SummarisationCode0
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case StudyCode0
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text DetectionCode0
Attribute Diversity Determines the Systematicity Gap in VQACode0
In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across LanguagesCode0
Attributed Graph Clustering via Adaptive Graph ConvolutionCode0
Attribute-aware Diversification for Sequential RecommendationsCode0
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple ReferencesCode0
Attribute Alignment: Controlling Text Generation from Pre-trained Language ModelsCode0
Attraction-Repulsion clustering with applications to fairnessCode0
Attesting Distributional Properties of Training Data for Machine LearningCode0
A Learned Representation For Artistic StyleCode0
Intrinsically-Motivated Humans and Agents in Open-World ExplorationCode0
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI ModelsCode0
Privacy-preserving datasets by capturing feature distributions with Conditional VAEsCode0
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and LimitationsCode0
Albumentations: fast and flexible image augmentationsCode0
Relevance Attack on DetectorsCode0
Intent Factored Generation: Unleashing the Diversity in Your Language ModelCode0
Intentional Computational Level DesignCode0
Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature DimensionsCode0
A Tool for Super-Resolving Multimodal Clinical MRICode0
Abusive Language Recognition in RussianCode0
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-DiversityCode0
Integrating Present and Past in Unsupervised Continual LearningCode0
Interactive Image Segmentation With Latent DiversityCode0
InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content DetectionCode0
A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work StylesCode0
Instance-wise Supervision-level Optimization in Active LearningCode0
tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificityCode0
InstaNAS: Instance-aware Neural Architecture SearchCode0
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical ExamplesCode0
Interactive Neural Style Transfer with ArtistsCode0
Is ChatGPT A Good Keyphrase Generator? A Preliminary StudyCode0
Input-gradient space particle inference for neural network ensemblesCode0
A Systematic Review of Reproducibility Research in Natural Language ProcessingCode0
InsBank: Evolving Instruction Subset for Ongoing AlignmentCode0
Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain EnvironmentsCode0
A Systematic Characterization of Sampling Algorithms for Open-ended Language GenerationCode0
Information-Theoretic Active Learning for Content-Based Image RetrievalCode0
Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video CodingCode0
In-Context Example Selection via Similarity Search Improves Low-Resource Machine TranslationCode0
INGB: Informed Nonlinear Granular Ball Oversampling Framework for Noisy Imbalanced ClassificationCode0
Insect Identification in the Wild: The AMI DatasetCode0
Influence Maximization in Hypergraphs using Multi-Objective Evolutionary AlgorithmsCode0
Asymptotic theory of in-context learning by linear attentionCode0
Inference of cell dynamics on perturbation data using adjoint sensitivityCode0
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