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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 4701–4750 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
Constraining Generative Models for Engineering Design with Negative DataCode0
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions—0
Shilling Black-box Review-based Recommender Systems through Fake Review Generation—0
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems—0
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataCode0
A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial DiversityCode0
Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms—0
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
Is Pre-training Truly Better Than Meta-Learning?—0
Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data—0
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems—0
Natural Language Generation for Advertising: A Survey—0
Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies—0
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast—0
Sequential Recommendation with Controllable Diversification: Representation Degeneration and DiversityCode0
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation—0
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event—0
Spatial Heterophily Aware Graph Neural NetworksCode0
On Evaluation of Document Classification using RVL-CDIP—0
From structure mining to unsupervised exploration of atomic octahedral networksCode0
Lingua Manga: A Generic Large Language Model Centric System for Data Curation—0
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation—0
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis—0
Conditional Text Image Generation with Diffusion Models—0
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