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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 5501–5550 of 9051 papers

TitleStatusHype
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform—0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation—0
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace—0
Surrogate Fitness Metrics for Interpretable Reinforcement Learning—0
Surveying Facial Recognition Models for Diverse Indian Demographics: A Comparative Analysis on LFW and Custom Dataset—0
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models—0
Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy and Novel Ensemble Method—0
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi—0
Sustainable Diversity of Phage-Bacteria Systems—0
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval—0
SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model—0
SWAG: A Wrapper Method for Sparse Learning—0
SwaQuAD-24: QA Benchmark Dataset in Swahili—0
Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization—0
Swarm Systems as a Platform for Open-Ended Evolutionary Dynamics—0
SwipeCut: Interactive Segmentation with Diversified Seed Proposals—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks—0
Symmetric and Asymmetric Tendencies in Stable Complex Systems—0
Symmetry-Breaking Augmentations for Ad Hoc Teamwork—0
Symmetry-constrained Rectification Network for Scene Text Recognition—0
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation—0
Symptom Identification for Interpretable Detection of Multiple Mental Disorders—0
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation—0
Synaptic Diversity in ANNs Can Facilitate Faster Learning—0
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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