vincentsunnchen /blog vincentschen

vincent sunn chen

vincentsc [at] cs [dot] stanford [dot] edu

I'm a graduate student at Stanford with a concentration in machine learning and a minor in creative writing. I'm interested in shaping datasets to make deep learning more accesible to domain experts in fields like medical imaging.

I also love reading, writing, and photography!

projects

Multi-task supervision on GLUE Benchmark

Braden Hancock, Clara McCreery, Ines Chami, Vincent S. Chen, Sen Wu, Jared Dunnmon, Paroma Varma, Max Lam, and Chris Ré

Blog: state of the art result [03/22/2019]

Scene Graph Prediction with Limited Labels

Vincent S Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Re, Li Fei-Fei

Preprint 2019.

Weakly supervised classification of rare aortic valve malformations using unlabeled cardiac MRI sequences

Jason A Fries, Paroma Varma, Vincent S Chen, Ke Xiao, Heliodoro Tejeda, Priyanka Saha, Jared Dunnmon, Henry Chubb, Shiraz Maskatia, Madalina Fiterau, Scott Delp, Euan Ashley, Christopher Ré, James Priest

BioArxiv Preprint 2018.

Automated Training Set Generation for Aortic Valve Classification

Vincent Chen, Paroma Varma, Madalina Fiterau, James Priest and Christopher Ré.

Neural Information Processing Systems 2017, ML4H Workshop. [pdf] [poster]

Using weak-supervision, we learn probabilistic training labels for aortic valve MRIs.

Generating Training Labels for Cardiac Phase-Contrast MRI Images

Vincent Chen, Paroma Varma, Madalina Fiterau, James Priest and Christopher Ré.

Neural Information Processing Systems 2017, Medical Imaging Workshop. [pdf]

teaching

CS231N: Convolutional Neural Networks for Visual Recognition

Teaching Assistant, Spring 2018

Hosted office hours, advised student projects, and led discussion sections on backpropogation and weak supervision.