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Found 5 papers, 1 papers with code
Counterfactual Image Generation for adversarially robust and interpretable Classifiers
Neural Image Classifiers are effective but inherently hard to interpret and susceptible to adversarial attacks.
Improving Low-Resource Question Answering using Active Learning in Multiple Stages
Furthermore, they often yield very good performance but only in the domain they were trained on.
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration
The narrow-space search of floating-point models improves the accuracy on CIFAR10 of an established IoT model from 70. 64% to 74. 87% within the same memory constraints.
PAGAN: Portfolio Analysis with Generative Adversarial Networks
Sound financial theories demonstrate that in an efficient marketplace all information available today, including expectations on future events, are represented in today prices whereas future price trend is driven by the uncertainty.
Computational Finance Statistical Finance
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Application of neural networks to a vast variety of practical applications is transforming the way AI is applied in practice.
