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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 4326–4350 of 9051 papers

TitleStatusHype
An Edge Alignment-based Orientation Selection Method for Neutron Tomography—0
DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation—0
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study—0
Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images—0
Improving Recommendation System Serendipity Through Lexicase Selection—0
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts—0
Anchor-Controlled Generative Adversarial Network for High-Fidelity Electromagnetic and Structurally Diverse Metasurface Design—0
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning—0
A Chinese Continuous Sign Language Dataset Based on Complex Environments—0
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit—0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
Improving Personalized Explanation Generation through Visualization—0
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition—0
Improving Response Diversity through Commonsense-Aware Empathetic Response Generation—0
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models—0
Addressing materials' microstructure diversity using transfer learning—0
Improving Out-of-Distribution Robustness of Classifiers Through Interpolated Generative Models—0
Better Alignment with Instruction Back-and-Forth Translation—0
Differential learning kinetics govern the transition from memorization to generalization during in-context learning—0
Ontology of Belief Diversity: A Community-Based Epistemological Approach—0
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation—0
Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization—0
A Novel Fuzzy Search Approach over Encrypted Data with Improved Accuracy and Efficiency—0
Differentia compositionem facit. A Slower-Paced and Reliable Parser for Latin—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
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