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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 4151–4175 of 9051 papers

TitleStatusHype
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection—0
Continual Semantic Segmentation with Automatic Memory Sample Selection—0
Collaborative Machine Learning Model Building with Families Using Co-ML—0
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
Who are the gatekeepers of economics? Geographic diversity, gender composition, and interlocking editorship of journal boards—0
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples—0
Shape-Erased Feature Learning for Visible-Infrared Person Re-IdentificationCode1
AGAD: Adversarial Generative Anomaly Detection—0
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning—0
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation—0
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack—0
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems—0
On the Suitability of Representations for Quality Diversity Optimization of Shapes—0
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains—0
Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen DomainsCode1
Zero-shot Generative Model Adaptation via Image-specific Prompt LearningCode1
Source-free Domain Adaptation Requires Penalized Diversity—0
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model—0
Pragmatically Appropriate Diversity for Dialogue Evaluation—0
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields—0
Efficient OCR for Building a Diverse Digital HistoryCode1
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale ReconstructionCode1
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation—0
Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation—0
FisHook -- An Optimized Approach to Marine Specie Classification using MobileNetV2—0
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