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Found 4 papers, 0 papers with code
Exploring Linguistic Similarity and Zero-Shot Learning for Multilingual Translation of Dravidian Languages
Pivot based neural machine translation is preferred over a single-encoder model for most settings despite the increased training and evaluation time.
Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs
Compared to conventional projection-based model-order-reduction, its neural-network acceleration has the advantage that the online simulations are equation-free, meaning that no system of equations needs to be solved iteratively.
Optimization of Image Embeddings for Few Shot Learning
In this paper we improve the image embeddings generated in the graph neural network solution for few shot learning.
A New Backpropagation Algorithm without Gradient Descent
In this paper, we develop an alternative to the backpropagation without the use of the Gradient Descent Algorithm, but instead we are going to devise a new algorithm to find the error in the weights and biases of an artificial neuron using Moore-Penrose Pseudo Inverse.
