Alexander Sax

Alexander (Sasha) Sax

PhD Student, Computer Science

UC Berkeley

About me:

I’m currently at UC Berkeley, where I am a PhD student advised by Jitendra Malik. I’m also advised by Amir Zamir (@ EPFL). Before coming to Berkeley, I was at Stanford for a M.Sc. (in Computer Science advised by Silvio Savarese and Amir Zamir and B.Sc. (in Math), also from Stanford.

My research interests are in building general and flexible autonomous systems. These systems should be able to learn new things with minimal amounts of extra data (for example, by leveraging prior world knowledge). They should also be able to learn continuously over their entire lifetime. I think that modeling the space of visual tasks is a great way to use previously learned information for new tasks.

Selected Honors and Awards

Education

  • PhD in EECS, 2022

    UC Berkeley

  • MSc in CS, 2018

    Stanford University

  • BSc in Math, 2018

    Stanford University

Selected Publications

Updated version on Google scholar

Complete list on Google scholar.
Robustness via Cross-Domain Ensembles. In ICCV, 2021.  [Oral]

PDF Code Project Project Site

Robust Policies via Mid-Level Visual Representations. In CoRL, 2020.  

PDF Code Project Video Project Site

Robust Learning Through Cross-Task Consistency. In CVPR, 2020.  [Best Paper Nominee] [Oral]

PDF Code Project Project Site

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. In CVPR, 2020.  [Oral]

PDF Code Project Project Site

Mid-Level Visual Priors Improve Generalization and Sample Efficiency for Learning Visuomotor Policies. In CoRL, in BayLearn, 2019.  [Oral]

PDF Code Project Video Project Site

Education

Internships and Research Positions