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Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation
Data-hunger and data-imbalance are two major pitfalls in many deep learning approaches.
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning
By selecting a subgraph with a favorable structure, we construct a simplified Markov Decision Process for which exact Q-values can be computed efficiently as more data comes in.
End-to-End Eye Movement Detection Using Convolutional Neural Networks
Common computational methods for automated eye movement detection - i. e. the task of detecting different types of eye movement in a continuous stream of gaze data - are limited in that they either involve thresholding on hand-crafted signal features, require individual detectors each only detecting a single movement, or require pre-segmented data.
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