Sotabase

Career

· Associate Professor, Massachusetts Institute of Technology2022–
· Visting Researcher, Google2020–2021
· Assistant Professor, Massachusetts Institute of Technology2018–2022
· Member Of Technical Staff, OpenAI2017–2018
· Postdoctoral Scholar, University of California, Berkeley2015–2017
· Research Intern, Microsoft Research New England2012–2012
· Doctor of Philosophy (Ph.D.), Cognitive Science, Massachusetts Institute of Technology2009–2015
· Graduate Student, Massachusetts Institute of Technology (MIT)2009–2015
· Founding Member, Wolfire Games2008–2009
· BS, Computer Science, Yale University2004–2008

Publications (150)

Image-to-Image Translation with Conditional Adversarial Networks
Computer Vision and Pattern Recognition · 2016
21,606
cited
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
15,644
cited
Supervised Contrastive Learning
Neural Information Processing Systems · 2020
5,653
cited
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
IEEE International Conference on Computer Vision · 2017
5,618
cited
Colorful Image Colorization
European Conference on Computer Vision · 2016
3,673
cited
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
International Conference on Machine Learning · 2017
3,194
cited
Contrastive Multiview Coding
European Conference on Computer Vision · 2019
2,637
cited
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
International Conference on Machine Learning · 2020
2,217
cited
What makes for good views for contrastive learning
Neural Information Processing Systems · 2020
1,504
cited
Contrastive Representation Distillation
International Conference on Learning Representations · 2019
1,229
cited
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
European Conference on Computer Vision · 2020
1,020
cited
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Computer Vision and Pattern Recognition · 2016
689
cited
What Makes a Visualization Memorable?
IEEE Transactions on Visualization and Computer Graphics · 2013
634
cited
Real-time user-guided image colorization with learned deep priors
ACM Transactions on Graphics · 2017
618
cited
iNeRF: Inverting Neural Radiance Fields for Pose Estimation
IEEE/RJS International Conference on Intelligent RObots and Systems · 2020
542
cited
What makes an image memorable?
Computer Vision and Pattern Recognition · 2011
464
cited
On the "steerability" of generative adversarial networks
International Conference on Learning Representations · 2019
419
cited
Visually Indicated Sounds
Computer Vision and Pattern Recognition · 2015
409
cited
What makes fake images detectable? Understanding properties that generalize
European Conference on Computer Vision · 2020
399
cited
The intrinsic memorability of face photographs.
Journal of experimental psychology. General · 2013
379
cited
Sotabase