Do CIFAR-10 Classifiers Generalize to CIFAR-10?

1 June 2018

Benjamin Recht

Papers citing "Do CIFAR-10 Classifiers Generalize to CIFAR-10?"

44 / 244 papers shown

Title
Show Your Work: Improved Reporting of Experimental Results Jesse Dodge Suchin Gururangan Dallas Card Roy Schwartz Noah A. Smith 16 249 0 06 Sep 2019
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 6 294 0 19 Aug 2019
That which we call private Ulfar Erlingsson Ilya Mironov A. Raghunathan Shuang Song 11 26 0 08 Aug 2019
Optimal multiclass overfitting by sequence reconstruction from Hamming queries Jayadev Acharya A. Suresh 17 3 0 08 Aug 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 24 93 0 06 Jul 2019
Reproducibility in Machine Learning for Health Matthew B. A. McDermott Shirly Wang N. Marinsek Rajesh Ranganath Marzyeh Ghassemi L. Foschini AI4TS 14 50 0 02 Jul 2019
High-Dimensional Optimization in Adaptive Random Subspaces Jonathan Lacotte Mert Pilanci Marco Pavone 27 16 0 27 Jun 2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers Alex X. Lu Amy X. Lu W. Schormann Marzyeh Ghassemi D. Andrews Alan M. Moses OOD 11 20 0 17 Jun 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks Ziang Yan Yiwen Guo Changshui Zhang AAML 28 110 0 11 Jun 2019
apricot: Submodular selection for data summarization in Python Jacob M. Schreiber J. Bilmes William Stafford Noble 8 44 0 08 Jun 2019
Early detection of sepsis utilizing deep learning on electronic health record event sequences S. Lauritsen M. E. Kalør Emil Lund Kongsgaard K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 19 135 0 07 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 33 204 0 06 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 43 741 0 31 May 2019
Cold Case: The Lost MNIST Digits Chhavi Yadav Léon Bottou 9 102 0 25 May 2019
The advantages of multiple classes for reducing overfitting from test set reuse Vitaly Feldman Roy Frostig Moritz Hardt 27 29 0 24 May 2019
What Can ResNet Learn Efficiently, Going Beyond Kernels? Zeyuan Allen-Zhu Yuanzhi Li 24 183 0 24 May 2019
Cognitive Model Priors for Predicting Human Decisions David D. Bourgin Joshua C. Peterson Daniel Reichman Thomas Griffiths Stuart J. Russell 14 72 0 22 May 2019
SSFN -- Self Size-estimating Feed-forward Network with Low Complexity, Limited Need for Human Intervention, and Consistent Behaviour across Trials S. Chatterjee Alireza M. Javid M. Sadeghi Shumpei Kikuta Dong Liu P. Mitra Mikael Skoglund 25 6 0 17 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran A. Madry SILM 28 1,809 0 06 May 2019
Batch Normalization is a Cause of Adversarial Vulnerability A. Galloway A. Golubeva T. Tanay M. Moussa Graham W. Taylor ODL AAML 25 80 0 06 May 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
See the World through Network Cameras Yung-Hsiang Lu George K. Thiruvathukal Ahmed S. Kaseb Kent W. Gauen Damini Rijhwani Ryan Dailey Deeptanshu Malik Yutong Huang Sara Aghajanzadeh Minghao Guo 3DV 7 6 0 14 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 38 136 0 10 Apr 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge Hugo J. Kuijf J. M. Biesbroek J. de Bresser R. Heinen Simon Andermatt ... Christopher P L H Chen W. M. van der Flier F. Barkhof M. Viergever G. Biessels 11 250 0 01 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 12 3,353 0 28 Mar 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 39 29 0 28 Mar 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search Andrew Hundt Varun Jain Gregory Hager OOD 30 66 0 23 Mar 2019
Detecting Overfitting via Adversarial Examples Roman Werpachowski András Gyorgy Csaba Szepesvári TDI 26 45 0 06 Mar 2019
Seven Myths in Machine Learning Research Oscar Chang Hod Lipson 8 0 0 18 Feb 2019
Do We Train on Test Data? Purging CIFAR of Near-Duplicates Björn Barz Joachim Denzler 21 95 0 01 Feb 2019
nocaps: novel object captioning at scale Harsh Agrawal Karan Desai Yufei Wang Xinlei Chen Rishabh Jain Mark Johnson Dhruv Batra Devi Parikh Stefan Lee Peter Anderson VLM 21 468 0 20 Dec 2018
Adversarial Examples as an Input-Fault Tolerance Problem A. Galloway A. Golubeva Graham W. Taylor SILM AAML 6 0 0 30 Nov 2018
Deep learning for pedestrians: backpropagation in CNNs L. Boué 3DV PINN 18 4 0 29 Nov 2018
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks Drew Linsley Junkyung Kim D. Berson Thomas Serre 3DV 30 17 0 28 Nov 2018
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks Iurii Kemaev Daniil Polykovskiy Dmitry Vetrov SSeg 17 3 0 11 Nov 2018
Deep Weighted Averaging Classifiers Dallas Card Michael J.Q. Zhang Hao Tang 12 41 0 06 Nov 2018
A Closer Look at Deep Policy Gradients Andrew Ilyas Logan Engstrom Shibani Santurkar Dimitris Tsipras Firdaus Janoos Larry Rudolph Aleksander Madry 30 50 0 06 Nov 2018
Distributionally Adversarial Attack T. Zheng Changyou Chen K. Ren OOD 21 121 0 16 Aug 2018
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations Dan Hendrycks Thomas G. Dietterich OOD 14 197 0 04 Jul 2018
Confounding variables can degrade generalization performance of radiological deep learning models J. Zech Marcus A. Badgeley Manway Liu A. Costa J. Titano Eric K. Oermann OOD 6 1,152 0 02 Jul 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark Cody Coleman Daniel Kang Deepak Narayanan Luigi Nardi Tian Zhao Jian Zhang Peter Bailis K. Olukotun Christopher Ré Matei A. Zaharia 13 117 0 04 Jun 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 24 16 0 24 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 60 1,755 0 24 May 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012