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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 4251–4300 of 9051 papers

TitleStatusHype
Dimensionality reduction for k-means clustering of large-scale influenza mutation datasets—0
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning—0
Improving Diversity of Neural Text Generation via Inverse Probability Weighting—0
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models—0
DiMA: Sequence Diversity Dynamics Analyser for Viruses—0
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation—0
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules—0
Digital Life Project: Autonomous 3D Characters with Social Intelligence—0
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts—0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination—0
Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset—0
DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving—0
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models—0
Variational Conditional GAN for Fine-grained Controllable Image Generation—0
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study—0
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models—0
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research—0
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss—0
Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization—0
Improving NSGA-II with an Adaptive Mutation Operator—0
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion—0
DiffusionPhase: Motion Diffusion in Frequency Domain—0
Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering—0
Diffusion on language model encodings for protein sequence generation—0
Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions—0
Diffusion Model with Perceptual Loss—0
An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization—0
A Classification-Based Study of Covariate Shift in GAN Distributions—0
Beyond Diagonal RIS-Aided Networks: Performance Analysis and Sectorization Tradeoff—0
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis—0
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning—0
Diffusion Model for Slate Recommendation—0
An Empirical Bayes Framework for Open-Domain Dialogue Generation—0
Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient—0
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement—0
Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes—0
A Decomposition-Based Many-Objective Evolutionary Algorithm with Local Iterative Update—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—0
Diffusion-like recommendation with enhanced similarity of objects—0
Diffusion Least Mean Square: Simulations—0
Beyond Blur: A Fluid Perspective on Generative Diffusion Models—0
An Empirical Analysis of Diversity in Argument Summarization—0
Improving Data Efficiency via Curating LLM-Driven Rating Systems—0
Improving Distribution Alignment with Diversity-based Sampling—0
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
Diffusion Deepfake—0
A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm—0
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images—0
Diffusion-based Target Sampler for Unsupervised Domain Adaptation—0
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