Sotabase

Career

· Software Engineer Intern, Atlantic Quantum2024–2024
· Software Engineer Intern, PLASTICITY PROJECT2023–2023
· System Administrator, UChicago Computer Science Instructional Laboratory (CSIL)2023–
· Computer Science Teaching Assistant Grader, University of Chicago Department of Computer Science2023–
· Research Assistant, Bakkour Memory and Decision Lab2022–2023

Publications (51)

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops · 2014
5,058
cited
The role of artificial intelligence in achieving the Sustainable Development Goals
Nature Communications · 2019
1,858
cited
From generic to specific deep representations for visual recognition
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2014
430
cited
Factors of Transferability for a Generic ConvNet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2014
354
cited
Explainability Techniques for Graph Convolutional Networks
International Conference on Machine Learning · 2019
315
cited
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
International Conference on Machine Learning · 2018
253
cited
Digital image analysis in breast pathology-from image processing techniques to artificial intelligence.
Translational research : the journal of laboratory and clinical medicine · 2017
251
cited
Predictions of turbulent shear flows using deep neural networks
Physical Review Fluids · 2019
232
cited
Object Detection Using Strongly-Supervised Deformable Part Models
European Conference on Computer Vision · 2012
230
cited
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Neural Information Processing Systems · 2021
136
cited
From coarse wall measurements to turbulent velocity fields through deep learning
The Physics of Fluids · 2021
130
cited
Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction.
Radiology · 2019
127
cited
GraphQA: protein model quality assessment using graph convolutional networks
Bioinform. · 2020
115
cited
Multi-view Body Part Recognition with Random Forests
British Machine Vision Conference · 2013
96
cited
Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence
2021
75
cited
Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays.
Cell Systems · 2018
73
cited
PatchDropout: Economizing Vision Transformers Using Patch Dropout
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2022
36
cited
Mixture Component Identification and Learning for Visual Recognition
European Conference on Computer Vision · 2012
33
cited
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
European Conference on Computer Vision · 2020
26
cited
Consistency Regularization Can Improve Robustness to Label Noise
arXiv.org · 2021
25
cited
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Naryna Azizpour | Researcher Profile | Sotabase | Sotabase