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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 8001–8050 of 9051 papers

TitleStatusHype
High-dimensional Assisted Generative Model for Color Image RestorationCode0
Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired SkillsCode0
Text-Driven Generative Domain Adaptation with Spectral Consistency RegularizationCode0
LiMiT: The Literal Motion in Text DatasetCode0
Controllable Motion Generation via Diffusion Modal CouplingCode0
Linear Contextual Bandits with Hybrid Payoff: RevisitedCode0
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation ModelingCode0
DPPy: Sampling DPPs with PythonCode0
Poster: SpiderSim: Multi-Agent Driven Theoretical Cybersecurity Simulation for Industrial DigitalizationCode0
Understanding Transfer Learning and Gradient-Based Meta-Learning TechniquesCode0
Beer Organoleptic Optimisation: Utilising Swarm Intelligence and Evolutionary Computation MethodsCode0
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified TextCode0
A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation SystemsCode0
Towards faithfully visualizing global linguistic diversityCode0
WHOMP: Optimizing Randomized Controlled Trials via Wasserstein HomogeneityCode0
An adaptative differential evolution with enhanced diversity and restart mechanismCode0
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion AnalysisCode0
Contributing Dimension Structure of Deep Feature for Coreset SelectionCode0
Fine-Grained Representation Learning via Multi-Level Contrastive Learning without Class PriorsCode0
Link-level simulator for 5G localizationCode0
Shared Generative Latent Representation Learning for Multi-view ClusteringCode0
Hierarchical Reinforcement Learning via Advantage-Weighted Information MaximizationCode0
greylock: A Python Package for Measuring The Composition of Complex DatasetsCode0
Yoga-82: A New Dataset for Fine-grained Classification of Human PosesCode0
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social InteractionsCode0
BEE: Metric-Adapted Explanations via Baseline Exploration-ExploitationCode0
Result Diversification in Search and Recommendation: A SurveyCode0
Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO VarianceCode0
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial DescriptionCode0
Hierarchical Pruning of Deep Ensembles with Focal DiversityCode0
LLM-based multi-agent poetry generation in non-cooperative environmentsCode0
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant RecommendationsCode0
Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem SolversCode0
A Survey of Data Synthesis ApproachesCode0
LLMs for Extremely Low-Resource Finno-Ugric LanguagesCode0
Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data DiversityCode0
VarGes: Improving Variation in Co-Speech 3D Gesture Generation via StyleCLIPSCode0
Towards Hate Speech Detection at Large via Deep Generative ModelingCode0
DOS: Diverse Outlier Sampling for Out-of-Distribution DetectionCode0
LLM-TOPLA: Efficient LLM Ensemble by Maximising DiversityCode0
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic SystemsCode0
Variability in the local and global composition of human T-cell receptor repertoires during thymic development across cell types and individualsCode0
LMEraser: Large Model Unlearning through Adaptive Prompt TuningCode0
A Structure-Guided Diffusion Model for Large-Hole Image CompletionCode0
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETsCode0
Show, Control and Tell: A Framework for Generating Controllable and Grounded CaptionsCode0
Predicting Complete 3D Models of Indoor ScenesCode0
Consistency-based anomaly detection with adaptive multiple-hypotheses predictionsCode0
Siamese Graph Learning for Semi-supervised Age EstimationCode0
Local Diversity of Condorcet DomainsCode0
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