Sotabase

Career

· Researcher, Massachusetts Institute of Technology2020–
· PhD Student in Artificial Intelligence, Neuroscience, and Machine Learning, University of California, Berkeley2013–2019

Publications (40)

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Neural Information Processing Systems · 2018
280
cited
Discovering Hidden Factors of Variation in Deep Networks
International Conference on Learning Representations · 2014
196
cited
The Low-Rank Simplicity Bias in Deep Networks
Trans. Mach. Learn. Res. · 2021
147
cited
Meta-Learning Update Rules for Unsupervised Representation Learning
International Conference on Learning Representations · 2018
129
cited
Superposition of many models into one
Neural Information Processing Systems · 2019
123
cited
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
International Conference on Machine Learning · 2023
92
cited
Equivariant Contrastive Learning
arXiv.org · 2021
87
cited
Adversarial Examples that Fool both Human and Computer Vision
arXiv.org · 2018
77
cited
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
International Conference on Machine Learning · 2020
62
cited
Learning Unsupervised Learning Rules
arXiv.org · 2018
62
cited
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
International Conference on Learning Representations · 2022
53
cited
Emergence of foveal image sampling from learning to attend in visual scenes
International Conference on Learning Representations · 2016
42
cited
Convolutional Neural Networks Applied to Human Face Classification
International Conference on Machine Learning and Applications · 2012
38
cited
Word Embedding Visualization Via Dictionary Learning
arXiv.org · 2019
20
cited
Subtle adversarial image manipulations influence both human and machine perception
Nature Communications · 2023
19
cited
Hybrid Evolution of Convolutional Networks
2011 10th International Conference on Machine Learning and Applications and Workshops · 2011
18
cited
System identification of neural systems: If we got it right, would we know?
International Conference on Machine Learning · 2023
16
cited
Adversarial examples influence human visual perception
Journal of Vision · 2019
7
cited
Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ)
arXiv.org · 2013
7
cited
How to guess a gradient
arXiv.org · 2023
7
cited
Sotabase
Brian Cheung | Researcher Profile | Sotabase | Sotabase