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Editing a classifier by rewriting its prediction rules



Shibani Santurkar , Dimitris Tsipras , Mahalaxmi Elango , David Bau , Antonio Torralba , Aleksander Madry


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3DB: A Framework for Debugging Computer Vision Models



Guillaume Leclerc , Hadi Salman , Andrew Ilyas , Sai Vemprala , Logan Engstrom , Vibhav Vineet , Kai Xiao , Pengchuan Zhang , Shibani Santurkar , Greg Yang , Ashish Kapoor , Aleksander Madry


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Leveraging Sparse Linear Layers for Debuggable Deep Networks



Eric Wong , Shibani Santurkar , Aleksander Mądry


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BREEDS: Benchmarks for Subpopulation Shift



Shibani Santurkar , Dimitris Tsipras , Aleksander Madry


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Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO



Logan Engstrom , Andrew Ilyas , Shibani Santurkar , Dimitris Tsipras , Firdaus Janoos , Larry Rudolph , Aleksander Madry

* ICLR 2020 version. arXiv admin note: text overlap with arXiv:1811.02553 

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From ImageNet to Image Classification: Contextualizing Progress on Benchmarks



Dimitris Tsipras , Shibani Santurkar , Logan Engstrom , Andrew Ilyas , Aleksander Madry


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Identifying Statistical Bias in Dataset Replication



Logan Engstrom , Andrew Ilyas , Shibani Santurkar , Dimitris Tsipras , Jacob Steinhardt , Aleksander Madry


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Computer Vision with a Single (Robust) Classifier



Shibani Santurkar , Dimitris Tsipras , Brandon Tran , Andrew Ilyas , Logan Engstrom , Aleksander Madry


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Learning Perceptually-Aligned Representations via Adversarial Robustness



Logan Engstrom , Andrew Ilyas , Shibani Santurkar , Dimitris Tsipras , Brandon Tran , Aleksander Madry


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Adversarial Examples Are Not Bugs, They Are Features



Andrew Ilyas , Shibani Santurkar , Dimitris Tsipras , Logan Engstrom , Brandon Tran , Aleksander Madry


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