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Meta-learning (computer science)

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The teacher in the loop: customizing MMLA in blended CSCL scenarios

Exploring Feature Dimensions to Learn a New Policy in an Uninformed Reinforcement Learning Task

Scalable Unsupervised Domain Adaptation for Electron Microscopy

Robust Online Time Series Prediction with Recurrent Neural Networks

Does computational neuroscience need new synaptic learning paradigms?

Computational Education using Latent Structured Prediction

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Autonomous reinforcement learning with experience replay

Computational Education using Latent Structured Prediction

Scalable Unsupervised Domain Adaptation for Electron Microscopy

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Robust Online Time Series Prediction with Recurrent Neural Networks

Does computational neuroscience need new synaptic learning paradigms?

Autonomous reinforcement learning with experience replay

Exploring Feature Dimensions to Learn a New Policy in an Uninformed Reinforcement Learning Task

The teacher in the loop: customizing MMLA in blended CSCL scenarios

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis