Robust Training Deep Equilibrium Models public – 2 min read DEQ, or Differential Equation Networks, is a new kind of neural network model that allows for efficient computation of gradients… Apr 23, 2023 Devin Schumacher
Robust Training Closed-loop Weighted Empirical Risk Minimization public – 3 min read Controlled Word Error Rate Minimization (CW-ERM) is a method used to improve the accuracy of speech recognition software in real-world… Apr 23, 2023 Devin Schumacher
Robust Training Self-adaptive Training public – 2 min read What is Self-Adaptive Training? Self-adaptive training is an algorithm used to improve the quality of deep learning models. It corrects… Apr 23, 2023 Devin Schumacher