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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
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data GenerationCode2
DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image GenerationCode2
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
Diff-BGM: A Diffusion Model for Video Background Music GenerationCode2
Diffusion Models for Molecules: A Survey of Methods and TasksCode2
Depth Field Networks for Generalizable Multi-view Scene RepresentationCode2
EgoMimic: Scaling Imitation Learning via Egocentric VideoCode2
Delta Decompression for MoE-based LLMs CompressionCode2
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMsCode2
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
Dereflection Any Image with Diffusion Priors and Diversified DataCode2
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single ImageCode2
Curvature Diversity-Driven Deformation and Domain Alignment for Point CloudCode2
DeepPrivacy2: Towards Realistic Full-Body AnonymizationCode2
BirdNET: A deep learning solution for avian diversity monitoringCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
Bridging Remote Sensors with Multisensor Geospatial Foundation ModelsCode2
FLatten Transformer: Vision Transformer using Focused Linear AttentionCode2
Deep Rectangling for Image Stitching: A Learning BaselineCode2
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event PredictionCode2
BITS: Bi-level Imitation for Traffic SimulationCode2
DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAXCode2
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