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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 276–300 of 9051 papers

TitleStatusHype
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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