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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 251–275 of 9051 papers

TitleStatusHype
Accelerated Quality-Diversity through Massive ParallelismCode2
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and ModelingCode2
Diffusion Models for Molecules: A Survey of Methods and TasksCode2
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-TrainingCode2
Diffusion Bridge Implicit ModelsCode2
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based RefinementCode2
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image ClassificationCode2
Test-time Alignment of Diffusion Models without Reward Over-optimizationCode2
Dereflection Any Image with Diffusion Priors and Diversified DataCode2
Dialectal Coverage And Generalization in Arabic Speech RecognitionCode2
DiffusionLight: Light Probes for Free by Painting a Chrome BallCode2
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data GenerationCode2
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal SystemsCode2
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event PredictionCode2
Deep Rectangling for Image Stitching: A Learning BaselineCode2
Delta Decompression for MoE-based LLMs CompressionCode2
Diff-BGM: A Diffusion Model for Video Background Music GenerationCode2
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationCode2
DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsCode2
Curvature Diversity-Driven Deformation and Domain Alignment for Point CloudCode2
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single ImageCode2
A Generalizable Anomaly Detection Method in Dynamic GraphsCode2
DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationCode2
AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image ClassificationCode2
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