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 3051–3075 of 9051 papers

TitleStatusHype
A mirror-Unet architecture for PET/CT lesion segmentationCode0
Evaluating Coherence in Dialogue Systems using EntailmentCode0
CircleGAN: Generative Adversarial Learning across Spherical CirclesCode0
Data Fusion for Deep Learning on Transport Mode Detection: A Case StudyCode0
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating AttentionCode0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Data-free Knowledge Distillation for Segmentation using Data-Enriching GANCode0
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic ExpressionsCode0
Evaluating Neural Language Models as Cognitive Models of Language AcquisitionCode0
Evolvability ES: Scalable and Direct Optimization of EvolvabilityCode0
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model MarketCode0
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials DataCode0
Ethical Considerations for Responsible Data CurationCode0
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency ParsingCode0
Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning TechniqueCode0
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of MetricsCode0
ETS: Efficient Tree Search for Inference-Time ScalingCode0
Ranking with Fairness ConstraintsCode0
Data-efficient Neuroevolution with Kernel-Based Surrogate ModelsCode0
Automatic Generation of Word Problems for Academic Education via Natural Language Processing (NLP)Code0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
EquiBoost: An Equivariant Boosting Approach to Molecular Conformation GenerationCode0
EuLearn: A 3D database for learning Euler characteristicsCode0
Data Augmentation for Generating Synthetic Electrogastrogram Time SeriesCode0
A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data SetsCode0
Show:102550
← PrevPage 123 of 363Next →

No leaderboard results yet.