foreground. 8 Brand Guidelines PyTorch Primary Colors PyTorch Orange embodies a fiery, lava-like essence without aggression. While it is the primary brand color, please use it sparingly. We prefer to

reduce the dimensionality by projecting the data to a lower dimensional subspace which captures the “essence” of the data. The motivation behind this technique is that although the data may appear high dimensional

trial results, the last trial #3 achieves the minimum loss value. This exercise demonstrates the essence of HPO which is to perform trials with different parameter values and choose the model with best

with random initialization is no worse than the pruned architecture with the trained weights. In essence, the structural aspect of pruning helps the network achieve a structure which could be trained to

the original task, embeddings are agnostic to the model architecture of the downstream task. In essence, the embedding tables provide us a portable memory bank of knowledge about our domain of interest