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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 501–525 of 9051 papers

TitleStatusHype
CLoG: Benchmarking Continual Learning of Image Generation ModelsCode1
AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationCode1
Bayesian Adversarial Human Motion SynthesisCode1
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion PriorCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Differential Evolution with Reversible Linear TransformationsCode1
AlphaGarden: Learning to Autonomously Tend a Polyculture GardenCode1
CloudEval-YAML: A Practical Benchmark for Cloud Configuration GenerationCode1
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
Entropy Minimization vs. Diversity Maximization for Domain AdaptationCode1
Batched Bayesian optimization by maximizing the probability of including the optimumCode1
Difficulty-Aware Simulator for Open Set RecognitionCode1
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language ModelCode1
Differentiable Quality DiversityCode1
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion ModelCode1
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19Code1
BanglaParaphrase: A High-Quality Bangla Paraphrase DatasetCode1
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text GenerationCode1
Barbie: Text to Barbie-Style 3D AvatarsCode1
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal TransferCode1
Bacteriophage classification for assembled contigs using Graph Convolutional NetworkCode1
Barcode Method for Generative Model Evaluation driven by Topological Data AnalysisCode1
Adversarial Semantic Data Augmentation for Human Pose EstimationCode1
Generating Diverse High-Fidelity Images with VQ-VAE-2Code1
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