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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 8151–8175 of 9051 papers

TitleStatusHype
Probing Simile Knowledge from Pre-trained Language ModelsCode0
MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup TransferCode0
Diversity with Cooperation: Ensemble Methods for Few-Shot ClassificationCode0
Making Deep Neural Networks Robust to Label Noise: a Loss Correction ApproachCode0
Diversity vs. Recognizability: Human-like generalization in one-shot generative modelsCode0
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the WildCode0
How to Train Neural Networks for Flare RemovalCode0
Go Back in Time: Generating Flashbacks in Stories with Event Temporal PromptsCode0
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple PersonasCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANsCode0
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture ModelingCode0
Diversity Transfer Network for Few-Shot LearningCode0
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial NetworksCode0
A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data SetsCode0
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text GenerationCode0
Diversity patterns and speciation processes in a two-island system with continuous migrationCode0
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement LearningCode0
Program-Aided Reasoners (better) Know What They KnowCode0
AmCLR: Unified Augmented Learning for Cross-Modal RepresentationsCode0
The Cell Ontology in the age of single-cell omicsCode0
Diversity of emergent dynamics in competitive threshold-linear networksCode0
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill DiscoveryCode0
Computing recommendations via a Knowledge Graph-aware AutoencoderCode0
SISUA: Semi-Supervised Generative Autoencoder for Single Cell DataCode0
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