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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 6076–6100 of 9051 papers

TitleStatusHype
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance LearningCode1
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation—0
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning—0
Blastocoel morphogenesis: a biophysics perspectiveCode0
An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis—0
The Food Recognition Benchmark: Using DeepLearning to Recognize Food on Images—0
RAILS: A Robust Adversarial Immune-inspired Learning SystemCode1
Post-Training Quantization for Vision Transformer—0
Outage Performance Analysis of Widely Linear Receivers in Uplink Multi-user MIMO Systems—0
Discovering Generalizable Skills via Automated Generation of Diverse Tasks—0
UMIC: An Unreferenced Metric for Image Captioning via Contrastive LearningCode1
Semi-Supervised Deep Ensembles for Blind Image Quality AssessmentCode0
Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks—0
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape AnalysisCode0
Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEsCode0
A Picture May Be Worth a Hundred Words for Visual Question Answering—0
A new system for evaluating brand importance: A use case from the fashion industry—0
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANsCode0
PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database—0
Neural Fashion Image Captioning : Accounting for Data DiversityCode1
On Minimizing Symbol Error Rate Over Fading Channels with Low-Resolution Quantization—0
Domain-Smoothing Network for Zero-Shot Sketch-Based Image RetrievalCode1
On the Diversity and Limits of Human Explanations—0
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology—0
Data Augmentation for Opcode Sequence Based Malware Detection—0
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