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

Showing 32513275 of 9051 papers

TitleStatusHype
Entropy and type-token ratio in gigaword corpora0
Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint0
Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem0
Entropy, Ergodicity and Stem Cell Multipotency0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification0
DiversiTree: A New Method to Efficiently Compute Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems0
Entropy Rectifying Guidance for Diffusion and Flow Models0
ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts0
An investigation into language complexity of World-of-Warcraft game-external texts0
COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models0
Breaking the mold: The challenge of large scale MARL specialization0
Advanced Framework for Animal Sound Classification With Features Optimization0
FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion0
Facilitating Opinion Diversity through Hybrid NLP Approaches0
Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks0
FairCoT: Enhancing Fairness in Diffusion Models via Chain of Thought Reasoning of Multimodal Language Models0
Erase, then Redraw: A Novel Data Augmentation Approach for Free Space Detection Using Diffusion Model0
ErGAN: Generative Adversarial Networks for Entity Resolution0
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models0
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling0
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks0
Error performance analysis of different modulations over TWDP fading channel0
Error Propagation and Overhead Reduced Channel Estimation for RIS-Aided Multi-User mmWave Systems0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer0
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