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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 3926–3950 of 9051 papers

TitleStatusHype
Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene—0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation—0
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective—0
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model—0
Diverse legal case search—0
Generalized Shortest-Paths Encoders for AMR-to-Text Generation—0
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through f-divergence Minimization—0
Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature Synthesis—0
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data—0
BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform—0
Diverse Large-Scale ITS Dataset Created from Continuous Learning for Real-Time Vehicle Detection—0
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs—0
Generate, Evaluate, and Select: A Dialogue System with a Response Evaluator for Diversity-Aware Response Generation—0
An Experimental Prototype for Multistatic Asynchronous ISAC—0
Hatchery-produced sandfish (Holothuria scabra) show altered genetic diversity in New Caledonia—0
Generating a Map of Well-being Regions using Multiscale Moving Direction Entropy on Mobile Sensors—0
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform—0
Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder—0
Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming—0
Generating an Overview Report over Many Documents—0
Crowdsourcing the Perception of Machine Teaching—0
Generating Behaviorally Diverse Policies with Latent Diffusion Models—0
Crowdsourcing with Fairness, Diversity and Budget Constraints—0
Generating Contradictory, Neutral, and Entailing Sentences—0
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition—0
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