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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 3501–3550 of 9051 papers

TitleStatusHype
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation—0
Assessing Intra-class Diversity and Quality of Synthetically Generated Images in a Biomedical and Non-biomedical Setting—0
AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI—0
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning—0
Conformity bias in the cultural transmission of music sampling traditions—0
Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks—0
Assessing fish abundance from underwater video using deep neural networks—0
FaceFormer: Scale-aware Blind Face Restoration with Transformers—0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion—0
ConfigTron: Tackling network diversity with heterogeneous configurations—0
Assessing Distractors in Multiple-Choice Tests—0
Confidence-Guided Semi-supervised Learning in Land Cover Classification—0
FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization—0
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout—0
Condorcet's Jury Theorem for Consensus Clustering and its Implications for Diversity—0
F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
Condition-Transforming Variational AutoEncoder for Conversation Response Generation—0
ASR4REAL: An extended benchmark for speech models—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation—0
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains—0
A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning—0
Extractive Financial Narrative Summarisation based on DPPs—0
Extraction of Verbal Synsets and Relations for FarsNet—0
Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers—0
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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