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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 4351–4375 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
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