SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3051–3100 of 9051 papers

TitleStatusHype
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental DesignCode0
Quantifying Cognitive Factors in Lexical DeclineCode0
CircleGAN: Generative Adversarial Learning across Spherical CirclesCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
Event Transition Planning for Open-ended Text GenerationCode0
Data Fusion for Deep Learning on Transport Mode Detection: A Case StudyCode0
Evaluating Fairness in Argument RetrievalCode0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Data-free Knowledge Distillation for Segmentation using Data-Enriching GANCode0
Evaluating Diversity in Automatic Poetry GenerationCode0
Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language ModelsCode0
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble MannerCode0
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model MarketCode0
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating AttentionCode0
Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning TechniqueCode0
Evaluating and Improving Graph to Text Generation with Large Language ModelsCode0
Data-efficient Neuroevolution with Kernel-Based Surrogate ModelsCode0
Automatic Generation of Word Problems for Academic Education via Natural Language Processing (NLP)Code0
ETS: Efficient Tree Search for Inference-Time ScalingCode0
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials DataCode0
Ethical Considerations for Responsible Data CurationCode0
EuLearn: A 3D database for learning Euler characteristicsCode0
Evaluating Coherence in Dialogue Systems using EntailmentCode0
Data Augmentation for Generating Synthetic Electrogastrogram Time SeriesCode0
A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data SetsCode0
EquiBoost: An Equivariant Boosting Approach to Molecular Conformation GenerationCode0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
Automatic Generation of Fashion Images using Prompting in Generative Machine Learning ModelsCode0
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency ParsingCode0
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High DimensionsCode0
Automatic Fused Multimodal Deep Learning for Plant IdentificationCode0
Reinforcement Learning for Topic ModelsCode0
EPiC: Ensemble of Partial Point Clouds for Robust ClassificationCode0
EnsLM: Ensemble Language Model for Data Diversity by Semantic ClusteringCode0
Relation-Rich Visual Document Generator for Visual Information ExtractionCode0
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of MetricsCode0
Evaluating Creative Short Story Generation in Humans and Large Language ModelsCode0
Expanding functional protein sequence space using generative adversarial networksCode0
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programmingCode0
Ensemble of Counterfactual ExplainersCode0
Ensemble Pruning based on Objection Maximization with a General Distributed FrameworkCode0
Ensemble Distribution DistillationCode0
Class Incremental Learning with Multi-Teacher DistillationCode0
Replica Tree-based Federated Learning using Limited DataCode0
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman FilterCode0
Ensembles of Locally Independent Prediction ModelsCode0
AmCLR: Unified Augmented Learning for Cross-Modal RepresentationsCode0
Re-purposing Heterogeneous Generative Ensembles with Evolutionary ComputationCode0
Automatic difficulty management and testing in games using a framework based on behavior trees and genetic algorithmsCode0
Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational VideosCode0
Show:102550
← PrevPage 62 of 182Next →

No leaderboard results yet.