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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 5926–5950 of 9051 papers

TitleStatusHype
S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample LearningCode0
Evaluating Fairness in Argument RetrievalCode0
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT SolversCode0
Exploring the Quality of GAN Generated Images for Person Re-Identification—0
A universally consistent learning rule with a universally monotone error—0
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations—0
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code ContributionsCode1
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model—0
Influence Selection for Active LearningCode1
Region-level Active Detector Learning—0
Is News Recommendation a Sequential Recommendation Task?—0
Generating Smooth Pose Sequences for Diverse Human Motion PredictionCode1
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies—0
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd CountingCode1
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition—0
On the Diversity and Limits of Human Explanations—0
An Investigation of the (In)effectiveness of Counterfactually Augmented Data—0
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts—0
Diversity-based Trajectory and Goal Selection with Hindsight Experience ReplayCode1
Modulating Language Models with Emotions—0
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model—0
A comparative study of universal quantum computing models: towards a physical unification—0
Data Efficient Human Intention Prediction: Leveraging Neural Network Verification and Expert Guidance—0
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy—0
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