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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 4351–4400 of 9051 papers

TitleStatusHype
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Coreference Resolution: Are the eliminated spans totally worthless?—0
Enhancing Test Time Adaptation with Few-shot Guidance—0
CodeFusion: A Pre-trained Diffusion Model for Code Generation—0
Enhancing Targeted Attack Transferability via Diversified Weight Pruning—0
Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique—0
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding—0
Are Easy Data Easy (for K-Means)—0
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?—0
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration—0
Enhancing Scientific Figure Captioning Through Cross-modal Learning—0
Enhancing Robustness of Pre-trained Language Model with Lexical Simplification—0
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
A Reduction Approach to Constrained Reinforcement Learning—0
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms—0
Enhancing Recommendation Diversity by Re-ranking with Large Language Models—0
Enhancing Pre-trained Language Model with Lexical Simplification—0
Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions—0
Enhancing performance of coherent OTDR systems with polarization diversity complementary codes—0
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images—0
Neuronal and structural differentiation in the emergence of abstract rules in hierarchically modulated spiking neural networks—0
Enhancing Optimization Through Innovation: The Multi-Strategy Improved Black Widow Optimization Algorithm (MSBWOA)—0
Coalescent dynamics of planktonic communities—0
Enhancing NLP Robustness and Generalization through LLM-Generated Contrast Sets: A Scalable Framework for Systematic Evaluation and Adversarial Training—0
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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