Search Results for author: Saeid Asgari

Found 3 papers, 0 papers with code

Group-disentangled Representation Learning with Weakly-Supervised Regularization

no code implementations23 Oct 2021 Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari

Learning interpretable and human-controllable representations that uncover factors of variation in data remains an ongoing key challenge in representation learning.

Disentanglement Transfer Learning

Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness

no code implementations29 Sep 2021 Saeid Asgari, Fereshte Khani, Ali Gholami, Kristy Choi, Linh Tran, Ran Zhang

Batch normalization (BN) is a ubiquitous technique for training deep neural networks that accelerates their convergence to reach higher accuracy.

Learning Task-Relevant Features via Contrastive Input Morphing

no code implementations1 Jan 2021 Saeid Asgari, Kristy Choi, Amir Hosein Khasahmadi, Anirudh Goyal

A fundamental challenge in artificial intelligence is learning useful representations of data that yield good performance on a downstream classification task, without overfitting to spurious input features.

Representation Learning

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