This paper describes the principle of "General Cyclical Training" in mac...
The cross-entropy softmax loss is the primary loss function used to trai...
Recent advances in one-shot semi-supervised learning have lowered the ba...
Reaching the performance of fully supervised learning with unlabeled dat...
One of the greatest obstacles in the adoption of deep neural networks fo...
Adversarial attacks and defenses are currently active areas of research ...
Although deep learning has produced dazzling successes for applications ...
In this paper, we show a phenomenon, which we named "super-convergence",...
This report is targeted to groups who are subject matter experts in thei...
We present observations and discussion of previously unreported phenomen...
Recent research in the deep learning field has produced a plethora of ne...
We introduce the concept of dynamically growing a neural network during
...
It is known that the learning rate is the most important hyper-parameter...
The potential of compressive sensing (CS) has spurred great interest in ...