1 code implementation • 18 Feb 2024 • Qitian Wu, Fan Nie, Chenxiao Yang, TianYi Bao, Junchi Yan
In this paper, we adopt a bottom-up data-generative perspective and reveal a key observation through causal analysis: the crux of GNNs' failure in OOD generalization lies in the latent confounding bias from the environment.
no code implementations • 31 Jan 2022 • Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, TianYi Bao, Rafal Bogacz, Thomas Lukasiewicz
Training with backpropagation (BP) in standard deep learning consists of two main steps: a forward pass that maps a data point to its prediction, and a backward pass that propagates the error of this prediction back through the network.