PAC-Net: A Model Pruning Approach to Inductive Transfer Learning

no code implementations • 12 Jun 2022 • Sanghoon Myung, In Huh, Wonik Jang, Jae Myung Choe, Jisu Ryu, Dae Sin Kim, Kee-Eung Kim, Changwook Jeong

Inductive transfer learning aims to learn from a small amount of training data for the target task by utilizing a pre-trained model from the source task.

Transfer Learning

Time-Reversal Symmetric ODE Network

1 code implementation • NeurIPS 2020 • In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

Time-reversal symmetry, which requires that the dynamics of a system should not change with the reversal of time axis, is a fundamental property that frequently holds in classical and quantum mechanics.