Search Results for author: Sara Fridovich-Keil

Found 7 papers, 3 papers with code

When does dough become a bagel? Analyzing the remaining mistakes on ImageNet

no code implementations9 May 2022 Vijay Vasudevan, Benjamin Caine, Raphael Gontijo-Lopes, Sara Fridovich-Keil, Rebecca Roelofs

To help contextualize progress on ImageNet and provide a more meaningful evaluation for today's state-of-the-art models, we manually review and categorize every remaining mistake that a few top models make in order to provide insight into the long-tail of errors on one of the most benchmarked datasets in computer vision.

Image Classification

Plenoxels: Radiance Fields without Neural Networks

1 code implementation9 Dec 2021 Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa

We introduce Plenoxels (plenoptic voxels), a system for photorealistic view synthesis.

Spectral Bias in Practice: The Role of Function Frequency in Generalization

no code implementations6 Oct 2021 Sara Fridovich-Keil, Raphael Gontijo-Lopes, Rebecca Roelofs

We also explore the connections between function frequency and image frequency and find that spectral bias is sensitive to the low frequencies prevalent in natural images.

Data Augmentation Image Classification

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

9 code implementations NeurIPS 2020 Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng

We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem domains.

Neural Kernels Without Tangents

1 code implementation ICML 2020 Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht

We investigate the connections between neural networks and simple building blocks in kernel space.

A Meta-Analysis of Overfitting in Machine Learning

no code implementations NeurIPS 2019 Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt

By systematically comparing the public ranking with the final ranking, we assess how much participants adapted to the holdout set over the course of a competition.

Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos

no code implementations25 Feb 2019 Sara Fridovich-Keil, Peter J. Ramadge

We consider the problem of smartphone video-based heart rate estimation, which typically relies on measuring the green color intensity of the user's skin.

Medical Physics Image and Video Processing

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