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 2701–2725 of 9051 papers

TitleStatusHype
Describing like humans: on diversity in image captioningCode0
LEATHER: A Framework for Learning to Generate Human-like Text in DialogueCode0
Beer Organoleptic Optimisation: Utilising Swarm Intelligence and Evolutionary Computation MethodsCode0
BEE: Metric-Adapted Explanations via Baseline Exploration-ExploitationCode0
DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology DiagnosisCode0
Analysis of the first Genetic Engineering Attribution ChallengeCode0
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationCode0
Less is More: Pseudo-Label Filtering for Continual Test-Time AdaptationCode0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
Few-shot Personalization of LLMs with Mis-aligned ResponsesCode0
Few-shot Quality-Diversity OptimizationCode0
Few-Shot Specific Emitter Identification via Hybrid Data Augmentation and Deep Metric LearningCode0
Few-shot Image Generation via Masked DiscriminationCode0
Few-shot Image Generation with Diffusion ModelsCode0
Federated Stain Normalization for Computational PathologyCode0
Bayesian Renewables Scenario Generation via Deep Generative NetworksCode0
Federated Visual Classification with Real-World Data DistributionCode0
Lightweight Adaptation of Neural Language Models via Subspace EmbeddingCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image ClassificationCode0
Federated Neural Topic ModelsCode0
Link-level simulator for 5G localizationCode0
Federated Voxel Scene Graph for Intracranial HemorrhageCode0
Bayesian Prediction of Future Street Scenes using Synthetic LikelihoodsCode0
Feature Space Particle Inference for Neural Network EnsemblesCode0
Show:102550
← PrevPage 109 of 363Next →

No leaderboard results yet.