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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 4301–4350 of 9051 papers

TitleStatusHype
An Efficient Genetic Algorithm for Discovering Diverse-Frequent Patterns—0
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images—0
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space—0
Improving Sequential Determinantal Point Processes for Supervised Video Summarization—0
Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting—0
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak—0
Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm—0
360U-Former: HDR Illumination Estimation with Panoramic Adapted Vision Transformers—0
Diffusing Differentiable Representations—0
An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis—0
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation—0
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning—0
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models—0
DiffuDetox: A Mixed Diffusion Model for Text Detoxification—0
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations—0
A Classification-Based Perspective on GAN Distributions—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
Improving Style-Content Disentanglement in Image-to-Image Translation—0
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks—0
Improving Query Safety at Pinterest—0
DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures—0
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose—0
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms—0
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts—0
DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model—0
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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