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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 5526–5550 of 9051 papers

TitleStatusHype
Synchronization of Diverse Agents via Phase Analysis—0
SynCity: Training-Free Generation of 3D Worlds—0
Synergistic Team Composition: A Computational Approach to Foster Diversity in Teams—0
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling—0
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching—0
SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection—0
SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset—0
Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation—0
Syntactic representation learning for neural network based TTS with syntactic parse tree traversal—0
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation—0
Synth4Kws: Synthesized Speech for User Defined Keyword Spotting in Low Resource Environments—0
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models—0
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation—0
Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection—0
Synthesizing Training Images for Boosting Human 3D Pose Estimation—0
Synthetic data augmentation for robotic mobility aids to support blind and low vision people—0
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification—0
Synthetic Data Generation for Augmenting Small Samples—0
Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method—0
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM—0
Synthetic Unknown Class Learning for Learning Unknowns—0
Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic Architecture—0
Systematic Derivation of Behaviour Characterisations in Evolutionary Robotics—0
System Description for the CommonGen task with the POINTER model—0
Systems, Actors and Agents: Operation in a multicomponent environment—0
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