_id,title
11452,Distributed principal component analysis with limited communication
11453,Online learning of neural computations from sparse temporal feedback
11458,AC/DC: Alternating Compressed/DeCompressed training of deep neural networks
11463,M-FAC: Efficient matrix-free approximations of second-order information
11464,Towards tight communication lower bounds for distributed optimisation
10593,PCA initialization for approximate message passing in rotationally invariant models
10594,When are solutions connected in deep networks?
9633,A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
7542,Powerset convolutional neural networks