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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 3526–3550 of 9051 papers

TitleStatusHype
Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks—0
Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers—0
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses—0
DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer—0
Extractive Financial Narrative Summarisation based on DPPs—0
Diversified Mutual Learning for Deep Metric Learning—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology—0
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
F^3OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics—0
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics—0
FABRA: French Aggregator-Based Readability Assessment toolkit—0
Diversified Multiscale Graph Learning with Graph Self-Correction—0
FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization—0
FaceCook: Face Generation Based on Linear Scaling Factors—0
Confidence-Guided Semi-supervised Learning in Land Cover Classification—0
Diversified Late Acceptance Search—0
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
FaceFormer: Scale-aware Blind Face Restoration with Transformers—0
ConfigTron: Tackling network diversity with heterogeneous configurations—0
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation—0
Face-to-Music Translation Using a Distance-Preserving Generative Adversarial Network with an Auxiliary Discriminator—0
Facets of Fairness in Search and Recommendation—0
Bootstrapping NLP tools across low-resourced African languages: an overview and prospects—0
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