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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 3851–3875 of 9051 papers

TitleStatusHype
Fundamentals of Task-Agnostic Data Valuation—0
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes—0
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning—0
Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites—0
Comprehensive Annotation of Multiword Expressions in a Social Web Corpus—0
Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling—0
GAdaBoost: An Efficient and Robust AdaBoost Algorithm Based on Granular-Ball Structure—0
GAIA: Zero-shot Talking Avatar Generation—0
GaitGCI: Generative Counterfactual Intervention for Gait Recognition—0
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning—0
Galaxy Image Simulation Using Progressive GANs—0
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection—0
Exploiting Angular Multiplexing for Polarization-diversity in Off-axis Digital Holography—0
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition—0
Compositional Operators in Distributional Semantics—0
GameVibe: A Multimodal Affective Game Corpus—0
Gamification Platform for Collecting Task-oriented Dialogue Data—0
GAMMT: Generative Ambiguity Modeling Using Multiple Transformers—0
GAN based ball screw drive picture database enlargement for failure classification—0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences—0
Compositional Fine-Grained Low-Shot Learning—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant Instance Conditioning—0
Explaining Search Result Stances to Opinionated People—0
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