[R] IMAE ICLR2023 RTML: loss function understanding and design for the purpose of robust and reliable ML

Paper: IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters (OpenReview: [https://openreview.net/forum?id=oK44liEinV](https://openreview.net/forum?id=oK44liEinV))

1. I am excited to share that our work on "loss/objective functions understanding and design for the purpose of robust and reliable AI/ML/DL", will be presented during ICLR 2023, a globally-recognized premier AI/ML/DL conference, as part of RTML, i.e., Trustworthy and Reliable Large-Scale Machine Learning Models.
2. The research questions we study in this work: (1) "Mean Absolute Error Does …

conference design iclr loss machine machine learning machinelearning machine learning models part reliable ai scale trustworthy understanding work