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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 4376–4400 of 9051 papers

TitleStatusHype
CNVSRC 2024: The Second Chinese Continuous Visual Speech Recognition Challenge—0
A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs—0
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis—0
Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap—0
CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems—0
Enhancing LLM-Based Human-Robot Interaction with Nuances for Diversity Awareness—0
Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling—0
Cnidaria: fast, reference-free clustering of raw and assembled genome and transcriptome NGS data—0
Are All Training Examples Created Equal? An Empirical Study—0
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes—0
Enhancing ICA Performance by Exploiting Sparsity: Application to FMRI Analysis—0
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection—0
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs—0
A Framework for Synthetic Audio Conversations Generation using Large Language Models—0
A Critical Reexamination of Intra-List Distance and Dispersion—0
Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques—0
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies—0
CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels—0
Enhancing Facial Data Diversity with Style-based Face Aging—0
Architext: Language-Driven Generative Architecture Design—0
Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies—0
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation—0
CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models—0
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network—0
cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization—0
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