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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 3801–3850 of 9051 papers

TitleStatusHype
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models—0
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers—0
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural NetworksCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters—0
Policy Space Diversity for Non-Transitive Games—0
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasCode1
Effective Transfer of Pretrained Large Visual Model for Fabric Defect Segmentation via Specifc Knowledge Injection—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
Shilling Black-box Review-based Recommender Systems through Fake Review Generation—0
Constraining Generative Models for Engineering Design with Negative DataCode0
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions—0
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regressionCode1
Restart Sampling for Improving Generative ProcessesCode1
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems—0
Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataCode0
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement—0
A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial DiversityCode0
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-StepCode1
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
On Evaluation of Document Classification using RVL-CDIP—0
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event—0
From structure mining to unsupervised exploration of atomic octahedral networksCode0
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast—0
RSMT: Real-time Stylized Motion Transition for CharactersCode1
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation—0
Sequential Recommendation with Controllable Diversification: Representation Degeneration and DiversityCode0
Spatial Heterophily Aware Graph Neural NetworksCode0
grenedalf: population genetic statistics for the next generation of pool sequencingCode1
Explicit Syntactic Guidance for Neural Text GenerationCode1
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation—0
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation FrameworkCode1
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis—0
Lingua Manga: A Generic Large Language Model Centric System for Data Curation—0
GenPlot: Increasing the Scale and Diversity of Chart Derendering DataCode1
Optimal Execution Using Reinforcement Learning—0
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives—0
Perturbation-Based Two-Stage Multi-Domain Active Learning—0
Chaotic turnover of rare and abundant species in a strongly interacting model community—0
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target ImputationCode0
Conditional Text Image Generation with Diffusion Models—0
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