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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 7701–7750 of 9051 papers

TitleStatusHype
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting DiversityCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
Improving Neural Conversational Models with Entropy-Based Data FilteringCode0
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision TransformersCode0
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge DistillationCode0
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual LearningCode0
Beyond a Single Mode: GAN Ensembles for Diverse Medical Data GenerationCode0
Beyond Aesthetics: Cultural Competence in Text-to-Image ModelsCode0
Language-Driven Active Learning for Diverse Open-Set 3D Object DetectionCode0
EmPO: Emotion Grounding for Empathetic Response Generation through Preference OptimizationCode0
Empirical Study of Off-Policy Policy Evaluation for Reinforcement LearningCode0
Language GANs Falling ShortCode0
Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-TuningCode0
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting RecommendationCode0
Improving Language Generation with Sentence Coherence ObjectiveCode0
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain DomainsCode0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI CoordinationCode0
When Prompting Fails to Sway: Inertia in Moral and Value Judgments of Large Language ModelsCode0
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly DetectionCode0
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High DimensionsCode0
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data AnnotationsCode0
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial ExamplesCode0
PEFT-U: Parameter-Efficient Fine-Tuning for User PersonalizationCode0
Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AICode0
Understanding Diversity in Session-Based RecommendationCode0
Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningCode0
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language PromptingCode0
Improving Generalization with Domain Convex GameCode0
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic ExpressionsCode0
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial RobustnessCode0
Select-Mosaic: Data Augmentation Method for Dense Small Object ScenesCode0
Self-adaptation of Genetic Operators Through Genetic Programming TechniquesCode0
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track CharacteristicsCode0
Activation Maximization Generative Adversarial NetsCode0
Cultural Heritage 3D Reconstruction with Diffusion NetworksCode0
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in GamesCode0
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation FrameworkCode0
Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural FeaturesCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-BoundCode0
Using Set Covering to Generate Databases for Holistic SteganalysisCode0
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across LanguagesCode0
Cultural-Aware AI Model for Emotion RecognitionCode0
Performative Recommendation: Diversifying Content via Strategic IncentivesCode0
Large-Scale Auto-Regressive Modeling Of Street NetworksCode0
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data GenerationCode0
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island CoevolutionCode0
Improving End-to-End Sequential Recommendations with Intent-aware DiversificationCode0
Improving Diversity of Commonsense Generation by Large Language Models via In-Context LearningCode0
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