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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 3151–3200 of 9051 papers

TitleStatusHype
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion—0
Enhancing Collective Intelligence in Large Language Models Through Emotional Integration—0
Enhancing Complex Formula Recognition with Hierarchical Detail-Focused Network—0
Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentation—0
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data—0
Enhancing Diversity for Data-free Quantization—0
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers—0
Enhancing Diversity in Multi-objective Feature Selection—0
Diversity and Depth in Per-Example Routing Models—0
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network—0
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation—0
Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Enhancing Facial Data Diversity with Style-based Face Aging—0
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies—0
Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques—0
Diversity and degrees of freedom in regression ensembles—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes—0
BRIDGING ADVERSARIAL SAMPLES AND ADVERSARIAL NETWORKS—0
Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling—0
Enhancing LLM-Based Human-Robot Interaction with Nuances for Diversity Awareness—0
Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap—0
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis—0
CNVSRC 2024: The Second Chinese Continuous Visual Speech Recognition Challenge—0
Enhancing NLP Robustness and Generalization through LLM-Generated Contrast Sets: A Scalable Framework for Systematic Evaluation and Adversarial Training—0
Enhancing Optimization Through Innovation: The Multi-Strategy Improved Black Widow Optimization Algorithm (MSBWOA)—0
Coalescent dynamics of planktonic communities—0
Enhancing performance of coherent OTDR systems with polarization diversity complementary codes—0
Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions—0
Advanced Signal Processing Techniques for Fixed and Mobile Satellite Communications—0
Enhancing Recommendation Diversity by Re-ranking with Large Language Models—0
Diversity and coevolutionary dynamics in high-dimensional phenotype spaces—0
Diversity and bias in audio captioning datasets—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
Enhancing Robustness of Pre-trained Language Model with Lexical Simplification—0
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context—0
Diversity Analysis for Indoor Terahertz Communication Systems under Small-Scale Fading—0
Bregman Centroid Guided Cross-Entropy Method—0
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms—0
Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique—0
Enhancing Targeted Attack Transferability via Diversified Weight Pruning—0
CodeFusion: A Pre-trained Diffusion Model for Code Generation—0
Enhancing Test Time Adaptation with Few-shot Guidance—0
3D Neural Field Generation using Triplane Diffusion—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Exploring Diverse Expressions for Paraphrase Generation—0
Enhancing the long-term performance of recommender system—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
DiversiTree: A New Method to Efficiently Compute Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems—0
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