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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 5151–5175 of 9051 papers

TitleStatusHype
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
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning ProblemsCode0
Bipartite Graph Diffusion Model for Human Interaction GenerationCode0
Accelerate & Actualize: Can 2D Materials Bridge the Gap Between Neuromorphic Hardware and the Human Brain?—0
Designing Data: Proactive Data Collection and Iteration for Machine Learning—0
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation—0
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks—0
Hatchery-produced sandfish (Holothuria scabra) show altered genetic diversity in New Caledonia—0
ECGAN: Self-supervised generative adversarial network for electrocardiography—0
Causality-based Dual-Contrastive Learning Framework for Domain Generalization—0
Representing Interlingual Meaning in Lexical Databases—0
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding—0
Regular Time-series Generation using SGM—0
Generalization through Diversity: Improving Unsupervised Environment Design—0
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning—0
New Metrics to Encourage Innovation and Diversity in Information Retrieval ApproachesCode0
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble—0
Genealogical transition in the noisy N-Branching Random Walk. How stronger selection may promote genetic diversity—0
Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video CodingCode0
Robust Scheduling with GFlowNets—0
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI CoordinationCode0
Ankh: Optimized Protein Language Model Unlocks General-Purpose ModellingCode0
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