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Found 5 papers, 1 papers with code
Emergence of cooperation under punishment: A reinforcement learning perspective
Punishment is a common tactic to sustain cooperation and has been extensively studied for a long time.
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images
In this study, we present a novel normalization technique called window normalization (WIN) to improve the model generalization on heterogeneous medical images, which is a simple yet effective alternative to existing normalization methods.
Long-term prediction of chaotic systems with recurrent neural networks
Reservoir computing systems, a class of recurrent neural networks, have recently been exploited for model-free, data-based prediction of the state evolution of a variety of chaotic dynamical systems.
Essence Knowledge Distillation for Speech Recognition
When the student model is trained together with the correct labels and the essence knowledge from the teacher model, it not only significantly outperforms another single model with the same architecture that is trained only with the correct labels, but also consistently outperforms the teacher model that is used to generate the soft labels.
A Bio-inspired Collision Detecotr for Small Quadcopter
The observed results from the experiments demonstrated that the LGMD collision detector is feasible to work as a vision module for the quadcopter's collision avoidance task.
