Do CIFAR-10 Classifiers Generalize to CIFAR-10?

1 June 2018

Benjamin Recht

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

50 / 244 papers shown

Title
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition Yaodong Yu Zitong Yang Yan Sun Jacob Steinhardt Yi Ma 18 17 0 17 Mar 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy Lucas Liebenwein Cenk Baykal Brandon Carter David K Gifford Daniela Rus AAML 40 71 0 04 Mar 2021
Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data Sanjeev Arora Yi Zhang MLAU 11 8 0 25 Feb 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 20 90 0 22 Feb 2021
Fitting very flexible models: Linear regression with large numbers of parameters D. Hogg Soledad Villar 14 5 0 15 Jan 2021
Out-distribution aware Self-training in an Open World Setting Maximilian Augustin Matthias Hein 21 7 0 21 Dec 2020
Computational principles of intelligence: learning and reasoning with neural networks Abel Torres Montoya PINN AI4CE 16 1 0 17 Dec 2020
Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds Jonathan Lacotte Mert Pilanci 20 11 0 13 Dec 2020
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations Tejas Gokhale Rushil Anirudh B. Kailkhura Jayaraman J. Thiagarajan Chitta Baral Yezhou Yang AAML OOD 13 37 0 03 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 30 242 0 25 Nov 2020
QuerYD: A video dataset with high-quality text and audio narrations Andreea-Maria Oncescu João F. Henriques Yang Liu Andrew Zisserman Samuel Albanie VGen 19 11 0 22 Nov 2020
Redesigning the classification layer by randomizing the class representation vectors Gabi Shalev Gal-Lev Shalev Joseph Keshet VLM 16 4 0 16 Nov 2020
MMD-Regularized Unbalanced Optimal Transport Piyushi Manupriya SakethaNath Jagarlapudi Pratik Jawanpuria OT 26 5 0 10 Nov 2020
Recurrent neural circuits for contour detection Drew Linsley Junkyung Kim A. Ashok Thomas Serre 27 45 0 29 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
What do CNN neurons learn: Visualization & Clustering Haoyue Dai SSL 6 0 0 18 Oct 2020
Pruning Convolutional Filters using Batch Bridgeout Najeeb Khan Ian Stavness 28 3 0 23 Sep 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 28 16 0 29 Jul 2020
DeepNNK: Explaining deep models and their generalization using polytope interpolation Sarath Shekkizhar Antonio Ortega 6 6 0 20 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 41 159 0 08 Jul 2020
Active Online Learning with Hidden Shifting Domains Yining Chen Haipeng Luo Tengyu Ma Chicheng Zhang 31 5 0 25 Jun 2020
Principal Component Networks: Parameter Reduction Early in Training R. Waleffe Theodoros Rekatsinas 3DPC 13 9 0 23 Jun 2020
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets Roozbeh Yousefzadeh Furong Huang 19 6 0 17 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 103 0 12 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 31 29 0 10 Jun 2020
Rethinking preventing class-collapsing in metric learning with margin-based losses Elad Levi Tete Xiao Xiaolong Wang Trevor Darrell 22 13 0 09 Jun 2020
Self-Supervised Dynamic Networks for Covariate Shift Robustness Tomer Cohen Noy Shulman Hai Morgenstern Roey Mechrez Erez Farhan OOD 19 4 0 06 Jun 2020
Identifying Statistical Bias in Dataset Replication Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Jacob Steinhardt A. Madry 21 50 0 19 May 2020
Learning and Inference in Imaginary Noise Models Saeed Saremi BDL DRL 11 2 0 18 May 2020
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations John McManigle Raquel R Bartz Lawrence Carin 11 3 0 08 May 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 55 1,991 0 16 Apr 2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability Maximilian Augustin Alexander Meinke Matthias Hein OOD 75 99 0 20 Mar 2020
Overinterpretation reveals image classification model pathologies Brandon Carter Siddhartha Jain Jonas W. Mueller David K Gifford FAtt 33 50 0 19 Mar 2020
Supervised Domain Adaptation using Graph Embedding Lukas Hedegaard Omar Ali Sheikh-Omar Alexandros Iosifidis OOD 6 17 0 09 Mar 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 47 787 0 26 Feb 2020
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows G. Yoo H. Owhadi 24 21 0 19 Feb 2020
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 19 28 0 13 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 27 115 0 13 Feb 2020
Adversarial Data Encryption Yingdong Hu Liang Zhang W. Shan Xiaoxiao Qin Jinghuai Qi Zhenzhou Wu Yang Yuan FedML MedIm 23 0 0 10 Feb 2020
DropCluster: A structured dropout for convolutional networks Liyang Chen P. Gautier Sergul Aydore 20 11 0 07 Feb 2020
Dependable Neural Networks for Safety Critical Tasks Molly O'Brien W. Goble Gregory D. Hager Julia V. Bukowski AAML 14 7 0 20 Dec 2019
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking and Vehicle Re-ID in Multi-Camera Networks Abhijit Suprem Rodrigo Alves Lima Bruno Padilha J. E. Ferreira C. Pu 25 1 0 09 Dec 2019
Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges Prabu Ravindran E. Ebanyenle Alberta Asi Ebeheakey Kofi Bonsu Abban Ophilious Lambog Richard Soares Adriana Costa A. Wiedenhoeft 12 18 0 01 Dec 2019
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections Theodora Kontogianni Michael Gygli J. Uijlings V. Ferrari CLL VLM 24 58 0 28 Nov 2019
Towards Making Deep Transfer Learning Never Hurt Ruosi Wan Haoyi Xiong Xingjian Li Zhanxing Zhu Jun Huan 30 21 0 18 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 51 978 0 31 Oct 2019
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion A. Hinterreiter Peter Ruch Holger Stitz Martin Ennemoser J. Bernard Hendrik Strobelt M. Streit 19 43 0 02 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 30 426 0 01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 27 92 0 29 Sep 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 21 373 0 27 Sep 2019