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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 251–300 of 9051 papers

TitleStatusHype
Effective Data Augmentation With Diffusion ModelsCode2
VBR: A Vision Benchmark in RomeCode2
VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term ModelingCode2
Anomaly Detection via Reverse Distillation from One-Class EmbeddingCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image InpaintingCode2
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationCode2
Diverse Preference OptimizationCode2
EDGE: Editable Dance Generation From MusicCode2
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer VisionCode2
DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsCode2
Test-time Alignment of Diffusion Models without Reward Over-optimizationCode2
Diffusion Bridge Implicit ModelsCode2
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based RefinementCode2
Diff-BGM: A Diffusion Model for Video Background Music GenerationCode2
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationCode2
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image ClassificationCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
Diffusion Models for Molecules: A Survey of Methods and TasksCode2
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
Dialectal Coverage And Generalization in Arabic Speech RecognitionCode2
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal ModelsCode2
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-TrainingCode2
DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image GenerationCode2
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
Dereflection Any Image with Diffusion Priors and Diversified DataCode2
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event PredictionCode2
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimizationCode2
DiffusionLight: Light Probes for Free by Painting a Chrome BallCode2
A Generalizable Anomaly Detection Method in Dynamic GraphsCode2
Delta Decompression for MoE-based LLMs CompressionCode2
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy OptimizationCode2
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal SystemsCode2
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single ImageCode2
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data GenerationCode2
DeepPrivacy2: Towards Realistic Full-Body AnonymizationCode2
Curvature Diversity-Driven Deformation and Domain Alignment for Point CloudCode2
Find Any Part in 3DCode2
FLatten Transformer: Vision Transformer using Focused Linear AttentionCode2
Deep Rectangling for Image Stitching: A Learning BaselineCode2
Depth Field Networks for Generalizable Multi-view Scene RepresentationCode2
Diffusion Models Beat GANs on Image SynthesisCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
Multi-Space Alignments Towards Universal LiDAR SegmentationCode2
General Scene Adaptation for Vision-and-Language NavigationCode2
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAXCode2
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