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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 7951–7975 of 9051 papers

TitleStatusHype
Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites—0
Attraction-Repulsion clustering with applications to fairnessCode0
Intra-Ensemble in Neural Networks—0
Jointly Measuring Diversity and Quality in Text Generation ModelsCode1
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm—0
A Dilated Inception Network for Visual Saliency PredictionCode0
Normalized DiversificationCode0
Evaluating Coherence in Dialogue Systems using EntailmentCode0
Diversified Hidden Markov Models for Sequential Labeling—0
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations—0
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems—0
Multi-reference Tacotron by Intercross Training for Style Disentangling,Transfer and Control in Speech Synthesis—0
Unifying Human and Statistical Evaluation for Natural Language GenerationCode0
Affect-Driven Dialog Generation—0
Studying Cultural Differences in Emoji Usage across the East and the WestCode0
Plan, Write, and Revise: an Interactive System for Open-Domain Story GenerationCode0
Image Generation From Small Datasets via Batch Statistics AdaptationCode1
Personalized Bundle List Recommendation—0
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios—0
Semantics Disentangling for Text-to-Image Generation—0
Curls & Whey: Boosting Black-Box Adversarial AttacksCode0
The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual Context—0
A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization—0
Enhancing the long-term performance of recommender system—0
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data—0
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