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 7451–7475 of 9051 papers

TitleStatusHype
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions—0
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses—0
SEERL: Sample Efficient Ensemble Reinforcement Learning—0
EEV: A Large-Scale Dataset for Studying Evoked Expressions from VideoCode1
A Sample Selection Approach for Universal Domain Adaptation—0
Hydra: Preserving Ensemble Diversity for Model DistillationCode0
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual FeaturesCode1
Image inpainting using directional wavelet packets originating from polynomial splines—0
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination—0
Towards GAN Benchmarks Which Require Generalization—0
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery DetectionCode1
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration—0
Land-use history impacts functional diversity across multiple trophic groups—0
Plug-and-Play Rescaling Based Crowd Counting in Static Images—0
Measuring Diversity in Heterogeneous Information Networks—0
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
Pal-GAN: Palette-conditioned Generative Adversarial Networks—0
Composing Molecules with Multiple Property Constraints—0
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
Generating Object StampsCode1
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural NetworksCode0
LDMGAN: Reducing Mode Collapse in GANs with Latent Distribution Matching—0
EXPLOITING SEMANTIC COHERENCE TO IMPROVE PREDICTION IN SATELLITE SCENE IMAGE ANALYSIS: APPLICATION TO DISEASE DENSITY ESTIMATION—0
Diversity Transfer Network for Few-Shot LearningCode0
Large-Scale Survey of Cell-Differentiation Programs in a Generative Model Reveals Regeneration as an Epiphenomenon of Development—0
Show:102550
← PrevPage 299 of 363Next →

No leaderboard results yet.