2.3k citations · 4.7k across the 88 of their papers we have counts for
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Multispectral Contrastive Learning with Viewmaker Networks
Jasmine Bayrooti, Noah Goodman, Alex Tamkin
Contrastive learning methods have been applied to a range of domains and modalities by training models to identify similar "views" of data points. However, specialized scientific m…
Geoclidean: Few-Shot Generalization in Euclidean Geometry
Joy Hsu, Jiajun Wu, Noah D. Goodman
Euclidean geometry is among the earliest forms of mathematical thinking. While the geometric primitives underlying its constructions, such as perfect lines and circles, do not ofte…
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
Ananya Karthik, Mike Wu, Noah Goodman +1
Contrastive learning has made considerable progress in computer vision, outperforming supervised pretraining on a range of downstream datasets. However, is contrastive learning the…
Visual resemblance and communicative context constrain the emergence of graphical conventions
Robert D. Hawkins, Megumi Sano, Noah D. Goodman +1
From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world. How do images spanning such a broad range of appea…
Shaping Visual Representations with Language for Few-shot Classification
Jesse Mu, Percy Liang, Noah Goodman
By describing the features and abstractions of our world, language is a crucial tool for human learning and a promising source of supervision for machine learning models. We use la…
Joint Mapping and Calibration via Differentiable Sensor Fusion
Jonathan P. Chen, Fritz Obermeyer, Vladimir Lyapunov +2
We leverage automatic differentiation (AD) and probabilistic programming to develop an end-to-end optimization algorithm for batch triangulation of a large number of unknown object…