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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 3101–3150 of 9051 papers

TitleStatusHype
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-LearningCode0
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating AttentionCode0
Evaluating Diversity in Automatic Poetry GenerationCode0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
EquiBoost: An Equivariant Boosting Approach to Molecular Conformation GenerationCode0
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting DiversityCode0
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial TrainingCode0
EPiC: Ensemble of Partial Point Clouds for Robust ClassificationCode0
Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation AbilityCode0
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation PerspectiveCode0
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency ParsingCode0
AmCLR: Unified Augmented Learning for Cross-Modal RepresentationsCode0
Automatic difficulty management and testing in games using a framework based on behavior trees and genetic algorithmsCode0
EnsLM: Ensemble Language Model for Data Diversity by Semantic ClusteringCode0
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of MetricsCode0
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment AnalysisCode0
Ensemble Pruning based on Objection Maximization with a General Distributed FrameworkCode0
Ensembles of Locally Independent Prediction ModelsCode0
Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational CostsCode0
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman FilterCode0
Ensemble of Counterfactual ExplainersCode0
Ensemble Distribution DistillationCode0
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programmingCode0
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering SystemsCode0
Improved Paraphrase Generation via Controllable Latent DiffusionCode0
Closed-loop Error Correction Learning Accelerates Experimental Discovery of Thermoelectric MaterialsCode0
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials DataCode0
HeteroMorpheus: Universal Control Based on Morphological Heterogeneity ModelingCode0
Enhancing Task-Oriented Dialogues with Chitchat: a Comparative Study Based on Lexical Diversity and DivergenceCode0
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired ConstraintsCode0
A hybrid ensemble method with negative correlation learning for regressionCode0
Enhancing Relation Extraction Using Syntactic Indicators and Sentential ContextsCode0
Enhancing Robustness of AI Offensive Code Generators via Data AugmentationCode0
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial AttacksCode0
Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational VideosCode0
DAOC: Stable Clustering of Large NetworksCode0
Dank Learning: Generating Memes Using Deep Neural NetworksCode0
Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural ArchitecturesCode0
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA ArchitecturesCode0
Enhancing Feature Diversity Boosts Channel-Adaptive Vision TransformersCode0
Enhancing Image Generation Fidelity via Progressive PromptsCode0
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKACode0
DAM: Diffusion Activation Maximization for 3D Global ExplanationsCode0
Enhancing Molecular Property Prediction via Mixture of Collaborative ExpertsCode0
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented GuesserCode0
Ethical Considerations for Responsible Data CurationCode0
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
Group Relative Policy Optimization for Image CaptioningCode0
Reinforcement Learning for Topic ModelsCode0
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