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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

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Showing 4701–4725 of 9051 papers

TitleStatusHype
Pattern and Polarization Diversity Multi-Sector Annular Antenna for IoT Applications—0
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search—0
Amplifying Limitations, Harms and Risks of Large Language Models—0
Grammatical Parameters from a Gene-like Code to Self-Organizing Attractors—0
A Dataset of Inertial Measurement Units for Handwritten English Alphabets—0
Self-Consuming Generative Models Go MAD—0
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning—0
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport—0
REAL: A Representative Error-Driven Approach for Active LearningCode0
Fighting the disagreement in Explainable Machine Learning with consensus—0
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder—0
INGB: Informed Nonlinear Granular Ball Oversampling Framework for Noisy Imbalanced ClassificationCode0
Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review—0
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations—0
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers—0
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCoCode0
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models—0
Discovering Patterns of Definitions and Methods from Scientific Documents—0
Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters—0
Policy Space Diversity for Non-Transitive Games—0
Theater Aid System for the Visually Impaired Through Transfer Learning of Spatio-Temporal Graph Convolution Networks—0
Diversity is Strength: Mastering Football Full Game with Interactive Reinforcement Learning of Multiple AIs—0
Angle Sensitive Pixels for Lensless Imaging on Spherical Sensors—0
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners—0
Effective Transfer of Pretrained Large Visual Model for Fabric Defect Segmentation via Specifc Knowledge Injection—0
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