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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 5726–5750 of 9051 papers

TitleStatusHype
The Romanian Corpus Annotated with Verbal Multiword Expressions—0
The Second Monocular Depth Estimation Challenge—0
The Semantic Brand Score—0
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts—0
The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?—0
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?—0
The Solution for Language-Enhanced Image New Category Discovery—0
The #Somos600M Project: Generating NLP resources that represent the diversity of the languages from LATAM, the Caribbean, and Spain—0
The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation—0
The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It—0
The statistical Minkowski distances: Closed-form formula for Gaussian Mixture Models—0
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation—0
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning—0
Survey of Trustworthy AI: A Meta Decision of AI—0
The Synergy of Automated Pipelines with Prompt Engineering and Generative AI in Web Crawling—0
The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual Context—0
The unpaved road towards efficient selective breeding in insects for food and feed—0
The use of Ethnomedicinal plants in Indigenous Health Care Practice of the Hajong Tribe community in Durgapur, Bangladesh—0
Non-linearity identification for construction workers' personality-safety behaviour predictive relationship using neural network and linear regression modelling—0
The Vendiscope: An Algorithmic Microscope For Data Collections—0
The Weltmodell: A Data-Driven Commonsense Knowledge Base—0
The YOLO model that still excels in document layout analysis—0
THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses—0
Thinking Outside the (Gray) Box: A Context-Based Score for Assessing Value and Originality in Neural Text Generation—0
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation—0
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