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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

Showing 9761000 of 9051 papers

TitleStatusHype
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionCode1
Fine-Grained VR Sketching: Dataset and InsightsCode1
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training DynamicsCode1
Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D inputCode1
Learning Distinct and Representative Styles for Image CaptioningCode1
Neuro-evolutionary evidence for a universal fractal primate brain shapeCode1
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation ApproachCode1
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path QualityCode1
AARGH! End-to-end Retrieval-Generation for Task-Oriented DialogCode1
Text-Free Learning of a Natural Language Interface for Pretrained Face GeneratorsCode1
Grounded Affordance from Exocentric ViewCode1
Semi-supervised Semantic Segmentation with Mutual Knowledge DistillationCode1
GAN-based generative modelling for dermatological applications -- comparative studyCode1
Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic DataCode1
VAuLT: Augmenting the Vision-and-Language Transformer for Sentiment Classification on Social MediaCode1
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIVCode1
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual EnvironmentsCode1
PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose EstimationCode1
A Case for Rejection in Low Resource ML DeploymentCode1
Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksCode1
A Map of Diverse Synthetic Stable Roommates InstancesCode1
Static and Dynamic Concepts for Self-supervised Video Representation LearningCode1
Generalized Probabilistic U-Net for medical image segementationCode1
Learning Object Placement via Dual-path Graph CompletionCode1
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly DetectionCode1
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