Education
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
Unlike commonly used iterative ODE solvers that necessitate time discretization, event-based simulations resolve neural network dynamics precisely between spike events.
1c104b9c0accfca52ef21728eaf01453-Paper.pdf
The task requires drawing visual figures that share underlying structure, based onasetofcomposable geometric rulesandsimpleobjects.
Overleaf Example
Videos introduce intrinsic complexities inboth spatial and temporal dimensions, whichare not present in staticimages.
Continuous Partitioning for Graph-Based Semi-Supervised Learning
This thresholding can further exacerbate the aforementioned degeneracy.
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
Therefore, we perform the learning and communication over the same set of parameters.