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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 2801–2850 of 9051 papers

TitleStatusHype
Fast Texture Synthesis via Pseudo OptimizerCode0
FASTdoop: a versatile and efficient library for the input of FASTA and FASTQ files for MapReduce Hadoop bioinformatics applicationsCode0
Batch Active Learning at ScaleCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
FedCCRL: Federated Domain Generalization with Cross-Client Representation LearningCode0
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium PhysicsCode0
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy MethodsCode0
A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic MeasuresCode0
Fast and Practical Neural Architecture SearchCode0
Model-Free Renewable Scenario Generation Using Generative Adversarial NetworksCode0
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness RewardCode0
Analysing domain shift factors between videos and images for object detectionCode0
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT SolversCode0
Deep Reinforcement Learning for Dialogue GenerationCode0
Deep Reinforcement Learning-based Exploration of Web ApplicationsCode0
Barrier-Free Microhabitats: Self-Organized Seclusion in Microbial CommunitiesCode0
Federated Neural Topic ModelsCode0
Fairness and Diversity in Recommender Systems: A SurveyCode0
Fair and accurate age prediction using distribution aware data curation and augmentationCode0
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimalityCode0
Fair Summarization: Bridging Quality and Diversity in Extractive SummariesCode0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
FairER: Entity Resolution with Fairness ConstraintsCode0
DMix: Adaptive Distance-aware Interpolative MixupCode0
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
An adaptative differential evolution with enhanced diversity and restart mechanismCode0
Facts That MatterCode0
Facilitating bootstrapped and rarefaction-based microbiome diversity analysis with q2-bootsCode0
BAL: Balancing Diversity and Novelty for Active LearningCode0
Motif-Centric Representation Learning for Symbolic MusicCode0
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related QueriesCode0
Fair and Diverse DPP-based Data SummarizationCode0
FaceCoresetNet: Differentiable Coresets for Face Set RecognitionCode0
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural NetworksCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Does Writing with Language Models Reduce Content Diversity?Code0
Deep Metric Learning with BIER: Boosting Independent Embeddings RobustlyCode0
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization FunctionCode0
Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred LearningCode0
Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emittersCode0
Hypergraph Clustering for Finding Diverse and Experienced GroupsCode0
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary EvaluationCode0
Federated Stain Normalization for Computational PathologyCode0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
Multilingual Lexical Simplification via Paraphrase GenerationCode0
Multilingual Neural Machine Translation with Knowledge DistillationCode0
Exploring the Performance-Reproducibility Trade-off in Quality-DiversityCode0
Exploring the Role of Node Diversity in Directed Graph Representation LearningCode0
Deep Learning Models for Atypical Serotonergic Cells RecognitionCode0
Exploring the Evolution of GANs through Quality DiversityCode0
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