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Found 3 papers, 1 papers with code
Dynamic Memory Based Adaptive Optimization
We address the following questions: How can optimizers make use of more memory units?
Mode Combinability: Exploring Convex Combinations of Permutation Aligned Models
We explore element-wise convex combinations of two permutation-aligned neural network parameter vectors $\Theta_A$ and $\Theta_B$ of size $d$.
Similarity and Matching of Neural Network Representations
With this toolset, we aim to match the activations on given layers of two trained neural networks by joining them with a stitching layer.
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