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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 151–175 of 9051 papers

TitleStatusHype
Diverse Preference OptimizationCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal ModelsCode2
Effective Data Augmentation With Diffusion ModelsCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
Diffusion Bridge Implicit ModelsCode2
3DGen: Triplane Latent Diffusion for Textured Mesh GenerationCode2
A Closer Look into Mixture-of-Experts in Large Language ModelsCode2
DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsCode2
DiffusionLight: Light Probes for Free by Painting a Chrome BallCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-TrainingCode2
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image InpaintingCode2
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
Diff-BGM: A Diffusion Model for Video Background Music GenerationCode2
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
Test-time Alignment of Diffusion Models without Reward Over-optimizationCode2
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationCode2
Diffusion Models Beat GANs on Image SynthesisCode2
Anomaly Detection via Reverse Distillation from One-Class EmbeddingCode2
EVA3D: Compositional 3D Human Generation from 2D Image CollectionsCode2
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event PredictionCode2
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