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 401–425 of 9051 papers

TitleStatusHype
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
Data Augmentation Alone Can Improve Adversarial TrainingCode1
Data Augmentation via Latent Diffusion for Saliency PredictionCode1
Dataset Factorization for CondensationCode1
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design ApplicationsCode1
Dance with You: The Diversity Controllable Dancer Generation via Diffusion ModelsCode1
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand PoseCode1
A Bayesian Flow Network Framework for Chemistry TasksCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
Deep Color Transfer using Histogram AnalogyCode1
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery DetectionCode1
DeepFacePencil: Creating Face Images from Freehand SketchesCode1
DeepHuman: 3D Human Reconstruction from a Single ImageCode1
Deep Image Harmonization with Learnable AugmentationCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive ScenariosCode1
Deep Time Series Forecasting with Shape and Temporal CriteriaCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
De novo Drug Design using Reinforcement Learning with Multiple GPT AgentsCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
Synth-Empathy: Towards High-Quality Synthetic Empathy DataCode1
Show:102550
← PrevPage 17 of 363Next →

No leaderboard results yet.