🔍 Project: Comparing Loss Functions for Robust Supervised Learning This project evaluates and compares multiple loss functions in the context of robust supervised learning using the California ...

Abstract: Nonlinear functions (NFs) in Transformers require high-precision computation consuming significant time and energy, despite the aggressive quantization schemes for other components.