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 36013625 of 9051 papers

TitleStatusHype
Knowledge-aware Text-Image Retrieval for Remote Sensing Images0
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning0
MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization0
Kinematic analysis of structural mechanics based on convolutional neural networkCode0
Sentiment Analysis Across Languages: Evaluation Before and After Machine Translation to EnglishCode0
Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature Synthesis0
Multi-Objective Recommendation via Multivariate Policy LearningCode0
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition0
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental DesignCode0
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems0
How to Diversify any Personalized Recommender? A User-centric Pre-processing approach0
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention0
Exploring the Capabilities of Large Language Models for Generating Diverse Design SolutionsCode0
Generative manufacturing systems using diffusion models and ChatGPT0
Layers of technology in pluriversal design. Decolonising language technology with the LiveLanguage initiative0
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?0
Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration0
Global News Synchrony and Diversity During the Start of the COVID-19 PandemicCode0
Predictive Accuracy-Based Active Learning for Medical Image SegmentationCode0
Multi-task Learning-based Joint CSI Prediction and Predictive Transmitter Selection for Security0
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity MechanismCode0
Flight Trajectory Prediction Using an Enhanced CNN-LSTM Network0
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design0
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios0
Advancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imagingCode0
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