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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 5326–5350 of 9051 papers

TitleStatusHype
EnvEdit: Environment Editing for Vision-and-Language NavigationCode1
AnyFace: Free-style Text-to-Face Synthesis and Manipulation—0
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition—0
Physics Guided Deep Learning for Generative Design of Crystal Materials with Symmetry ConstraintsCode1
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question AnsweringCode2
Metropolis-Hastings Data Augmentation for Graph Neural Networks—0
Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor AreasCode1
Implicit Neural Representations for Variable Length Human Motion GenerationCode1
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Stochastic Trajectory Prediction via Motion Indeterminacy DiffusionCode2
Steganalysis of Image with Adaptively Parametric Activation—0
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence LearningCode1
Multilingual CheckList: Generation and Evaluation—0
Informational Autocrats, Diverse Societies—0
Computational historical linguistics and language diversity in South Asia—0
Training-free Transformer Architecture SearchCode1
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake DetectionCode1
Bioplastic Design using Multitask Deep Neural NetworksCode0
Channel Self-Supervision for Online Knowledge Distillation—0
Reinforcement-based frugal learning for satellite image change detection—0
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing—0
A Unified Substrate for Body-Brain Co-evolutionCode0
Quality Controlled Paraphrase GenerationCode1
DIANES: A DEI Audit Toolkit for News Sources—0
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