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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 5751–5775 of 9051 papers

TitleStatusHype
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning—0
Provable Hierarchy-Based Meta-Reinforcement Learning—0
Active Learning for Deep Visual Tracking—0
Dataset Geography: Mapping Language Data to Language Users—0
Qualitative and Quantitative Analysis of Diversity in Cross-document Coreference Resolution Datasets—0
Emotion Style Transfer with a Specified Intensity Using Deep Reinforcement Learning—0
Know your tools well: Better and faster QA with synthetic examples—0
ASR4REAL: An extended benchmark for speech models—0
Dropping diversity of products of large US firms: Models and measures—0
Trigger Hunting with a Topological Prior for Trojan DetectionCode1
On The Ingredients of an Effective Zero-shot Semantic Parser—0
Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation—0
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception—0
Analysis of the first Genetic Engineering Attribution ChallengeCode0
CT-SGAN: Computed Tomography Synthesis GAN—0
UniPELT: A Unified Framework for Parameter-Efficient Language Model TuningCode1
Retrieval-guided Counterfactual Generation for QA—0
Open-Domain Question-Answering for COVID-19 and Other Emergent DomainsCode0
Considering user agreement in learning to predict the aesthetic qualityCode1
Diverse Audio Captioning via Adversarial Training—0
Vibration-Based Condition Monitoring By Ensemble Deep Learning—0
Quantifying Cognitive Factors in Lexical DeclineCode0
Evolutionary drivers, morphological evolution and diversity dynamics of a surviving mammal clade: cainotherioids at the Eocene--Oligocene transition—0
Internal Feedback in Biological Control: Architectures and Examples—0
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems—0
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