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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 4376–4400 of 9051 papers

TitleStatusHype
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads—0
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization—0
Pathologies of Predictive Diversity in Deep Ensembles—0
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain DomainsCode0
Evolving Flying Machines in Minecraft Using Quality DiversityCode1
An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes—0
Structured mutation inspired by evolutionary theory enriches population performance and diversity—0
Does Deep Active Learning Work in the Wild?—0
Diverse legal case search—0
Sustainable Diversity of Phage-Bacteria Systems—0
ProtoSeg: Interpretable Semantic Segmentation with Prototypical PartsCode1
Informational Diversity and Affinity Bias in Team Growth Dynamics—0
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?Code0
Joint Training of Deep Ensembles Fails Due to Learner CollusionCode0
Variation-Aware Semantic Image Synthesis—0
Accelerate & Actualize: Can 2D Materials Bridge the Gap Between Neuromorphic Hardware and the Human Brain?—0
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation—0
Bipartite Graph Diffusion Model for Human Interaction GenerationCode0
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning ProblemsCode0
Designing Data: Proactive Data Collection and Iteration for Machine Learning—0
Data Augmentation Alone Can Improve Adversarial TrainingCode1
Hatchery-produced sandfish (Holothuria scabra) show altered genetic diversity in New Caledonia—0
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks—0
ECGAN: Self-supervised generative adversarial network for electrocardiography—0
Representing Interlingual Meaning in Lexical Databases—0
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