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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
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration—0
A species of Coprococcus is related to BMI in patients who underwent malabsorptive bariatric surgery and its abundance is modified by magnesium and thiamin intake—0
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem—0
Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks—0
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model—0
Extending a Tag-based Collaborative Recommender with Co-occurring Information Interests—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
Conditional Text Image Generation with Diffusion Models—0
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference—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
Exponential Natural Particle Filter—0
Conditional Temporal Variational AutoEncoder for Action Video Prediction—0
FaceCook: Face Generation Based on Linear Scaling Factors—0
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld—0
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—0
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
A blindspot of AI ethics: anti-fragility in statistical prediction—0
Reliable and diverse evaluation of LLM medical knowledge mastery—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
Exploring Wikipedia Gender Diversity Over Time x2013 The Wikipedia Gender Dashboard (WGD)—0
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