AIDE: Accelerating image‐based ecological surveys with interactive machine learning

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AIDE: Accelerating image‐based ecological surveys with interactive machine learning

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Robust machine learning for neuroscientific inference

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Data and scripts for the RaFSIP scheme

Understanding generalization and robustness in modern deep learning

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Random matrix methods for high-dimensional machine learning models

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Robust NAS under adversarial training: benchmark, theory, and beyond

Aggregating Spatial and Photometric Context for Photometric Stereo

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Dataset for '3D printing of customizable transient bioelectronics and sensors'

Data set for control of Ge island coalescence for the formation of nanowires on silicon

Incorporating Projective Geometry into Deep Learning

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Meta-learning to address diverse Earth observation problems across resolutions

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

Data-driven statistical optimization of a groundwater monitoring network